🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Michael Levitt

Stanford University

ORCID: 0000-0002-8414-7397
Biochemistry, Genetics and Molecular BiologyMaterials Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile
0Author DataRank

Indexed papers

1in pilot corpus
datarank_citation_only_1hop_v6· scope data_onlyMethodology
Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 18 papers. Top paper: “Variability in excess deaths across countries with different vulnerability during 2020–2023”.

Variability in excess deaths across countries with different vulnerability during 2020–2023

Proceedings of the National Academy of Sciences(2023)10.1073/pnas.2309557120
N/A
1.1DataRank · unranked
31 citations

Francesco Zonta, Michael Levitt, John P. A. Ioannidis

What Really Happened During the Massive SARS-CoV-2 Omicron Wave in China?

JAMA Internal Medicine(2023)10.1001/jamainternmed.2023.1547
N/A
1.1DataRank · unranked
30 citations

Francesco Zonta, Michael Levitt, John P. A. Ioannidis

Flaws and uncertainties in pandemic global excess death calculations

European Journal of Clinical Investigation(2023)10.1111/eci.14008
N/A
1.0DataRank · unranked
36 citations

Francesco Zonta, Michael Levitt, John P. A. Ioannidis

Improved recognition of native-like protein structures using a family of designed sequences

Proceedings of the National Academy of Sciences(2002)10.1073/pnas.022408799
N/A
1.0DataRank · unranked
15 citations

Michael Levitt, Patrice Koehl

Comparison of pandemic excess mortality in 2020–2021 across different empirical calculations

Environmental Research(2022)10.1016/j.envres.2022.113754
N/A
0.635DataRank · unranked
68 citations

Francesco Zonta, John P. A. Ioannidis, Michael Levitt

Excess death estimates from multiverse analysis in 2009-2021

medRxiv(2022)10.1101/2022.09.21.22280219
N/A
0.614DataRank · unranked
5 citations

Francesco Zonta, John P. A. Ioannidis, Michael Levitt

Estimates of COVID-19 deaths in Mainland China after abandoning zero COVID policy

medRxiv(2022)10.1101/2022.12.29.22284048
N/A
0.479DataRank · unranked
7 citations

Francesco Zonta, Michael Levitt, John P. A. Ioannidis

Variability in excess deaths across countries with different vulnerability during 2020-2023

medRxiv(2023)10.1101/2023.04.24.23289066
N/A
0.165DataRank · unranked
2 citations

Francesco Zonta, Michael Levitt, John P. A. Ioannidis

Post-pandemic mortality patterns and COVID-19 burden considering multiple death causes

medRxiv(2025)10.1101/2025.09.01.25334892
N/A
0.104DataRank · unranked
1 citations

Michael Levitt, Stefan Pilz, John P. A. Ioannidis, Uwe Riedmann

Comparison of pandemic excess mortality in 2020-2021 across different empirical calculations

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.6545129
N/A
0DataRank · unranked
0 citations

Francesco Zonta, John P. A. Ioannidis, Michael Levitt

Excess death estimates from multiverse analysis in 2009-2021

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.7095753
N/A
0DataRank · unranked
0 citations

Francesco Zonta, John P. A. Ioannidis, Michael Levitt

Comparison of pandemic excess mortality in 2020-2021 across different empirical calculations

Zenodo (CERN European Organization for Nuclear Research)(2022)10.5281/zenodo.6545130
N/A
0DataRank · unranked
0 citations

Francesco Zonta, John P. A. Ioannidis, Michael Levitt

Insights on cross-species transmission of SARS-CoV-2 from structural modeling

PLoS Computational Biology(2020)10.1371/journal.pcbi.1008449
N/A
0DataRank · unranked
66 citations

Susana Barrera-Vilarmau, João M. C. Teixeira, Marija Sorokina, Elizabeth Seckel, Panagiotis L. Kastritis +2 more

Predicting the Trajectory of Any COVID19 Epidemic From the Best Straight Line

medRxiv(2020)10.1101/2020.06.26.20140814
N/A
0DataRank · unranked
32 citations

Andrea Scaiewicz, Francesco Zonta, Michael Levitt

Insights on cross-species transmission of SARS-CoV-2 from structural modeling

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.06.05.136861
N/A
0DataRank · unranked
16 citations

Susana Barrera-Vilarmau, João M. C. Teixeira, Elizabeth Seckel, Panagiotis L. Kastritis, Michael Levitt +1 more

Virus spread on a scale-free network reproduces the Gompertz growth observed in isolated COVID-19 outbreaks

Advances in Biological Regulation(2022)10.1016/j.jbior.2022.100915
N/A
0DataRank · unranked
5 citations

Michael Levitt, Francesco Zonta

Estimates of COVID‐19 deaths in Mainland China after abandoning zero COVID policy

European Journal of Clinical Investigation(2023)10.1111/eci.13956
N/A
0DataRank · unranked
60 citations

Francesco Zonta, Michael Levitt, John P. A. Ioannidis

Combining Force Fields and Neural Networks for an Accurate Representation of Chemically Diverse Molecular Interactions

Journal of the American Chemical Society(2023)10.1021/jacs.3c07628
N/A
0DataRank · unranked
30 citations

Serzhan Sakipov, Leonid Pereyaslavets, Igor V. Kurnikov, Ganesh Kamath, Oleg Butin +16 more