Ivan Koychev

Also affiliated with Science Oxford, Oxford University Hospitals NHS Trust, Imperial College London

MedicineNeuroscienceEnvironmental 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 10 papers. Top paper: “Remote monitoring technologies in Alzheimer’s disease: design of the RADAR-AD study”.

Remote monitoring technologies in Alzheimer’s disease: design of the RADAR-AD study

Alzheimer's Research & Therapy(2021)10.1186/s13195-021-00825-4

N/A

0.633DataRank · unranked

67 citations

Marijn Muurling, Casper de Boer, Rouba Kozak, Dorota Religa, Ivan Koychev +18 more

Entorhinal‐based path integration selectively predicts midlife risk of Alzheimer's disease

Alzheimer s & Dementia(2024)10.1002/alz.13733

N/A

0.598DataRank · unranked

53 citations

Marianna Pope, Catarina Rua, Richard N. Henson, Zilong Ji, Neil Burgess +13 more

Dementia risk and thalamic nuclei volumetry in healthy midlife adults: the PREVENT Dementia study

Brain Communications(2024)10.1093/braincomms/fcae046

N/A

0.373DataRank · unranked

11 citations

Maria‐Eleni Dounavi, Paresh Malhotra, Brian Lawlor, Lorina Naçi, Ivan Koychev +4 more

Path integration selectively predicts midlife risk of Alzheimer’s disease

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.31.526473

N/A

0DataRank · unranked

14 citations

Marianna Pope, Catarina Rua, Richard N. Henson, Zilong Ji, Neil Burgess +13 more

Prediction of rapid amyloid and phosphorylated‐Tau accumulation in cognitively healthy individuals

Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring(2020)10.1002/dad2.12019

N/A

0DataRank · unranked

22 citations

Nemanja Vaci, Murat Bilgel, Yang An, Graciela Muniz, Dean F. Wong +5 more

The value of mental science: we publish what matters

The British Journal of Psychiatry(2025)10.1192/bjp.2025.118

N/A

0DataRank · unranked

5 citations

Katherine Adlington, Adam Al‐Diwani, Shehzad Ali, Rina Arya, David S. Baldwin +74 more

Novel markers of cognitive impairment and resilience using digital and plasma biomarkers across different neurodegenerative diseases

medRxiv(2025)10.1101/2025.11.13.25340143

N/A

0DataRank · unranked

0 citations

Sijia Zhao, M. John Broulidakis, Claudia Gendarini, Divya Sinha, N Tahira +9 more

Neurodegenerative fluid biomarkers are enriched in human cervical lymph nodes

Brain(2024)10.1093/brain/awae329

N/A

0DataRank · unranked

25 citations

Nicholas M. Provine, Andrew G. Murchison, Rhiannon Laban, Owen Swann, Ivan Koychev +7 more

Artificial intelligence for dementia prevention

Alzheimer s & Dementia(2023)10.1002/alz.13463

N/A

0DataRank · unranked

37 citations

Vasiliki Orgeta, Charles R. Marshall, Ilianna Lourida, Christopher P. Albertyn, Stefano Tamburin +14 more

Identification of preclinical dementia according to ATN classification for stratified trial recruitment: A machine learning approach

PLoS ONE(2023)10.1371/journal.pone.0288039

N/A

0DataRank · unranked

6 citations

Evgeniy Marinov, Simon Young, Sophia Lazarova, Деница Григорова, Dean Palejev +1 more