Nadav Rappoport

2.8k total citations · 1 hit paper
36 papers, 841 citations indexed

About

Nadav Rappoport is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Nadav Rappoport has authored 36 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 7 papers in Genetics and 6 papers in Surgery. Recurrent topics in Nadav Rappoport's work include Machine Learning in Bioinformatics (4 papers), Machine Learning in Healthcare (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). Nadav Rappoport is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Machine Learning in Healthcare (4 papers) and Cardiac, Anesthesia and Surgical Outcomes (4 papers). Nadav Rappoport collaborates with scholars based in Israel, United States and South Korea. Nadav Rappoport's co-authors include Michal Linial, Dan Ofer, Nadav Brandes, Nathan Linial, Ariel Dora Stern, Noam Barda, Ofer N. Gofrit, Brian L. Hill, Hervé Bercovier and Atul J. Butte and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Nadav Rappoport

34 papers receiving 828 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

ProteinBERT: a universal deep-learning model of protein sequence and function

2022 451 citations Nadav Brandes, Dan Ofer et al. Bioinformatics profile →

Peers

Countries citing papers authored by Nadav Rappoport

Since Specialization

Citations

This map shows the geographic impact of Nadav Rappoport's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nadav Rappoport with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nadav Rappoport more than expected).

Fields of papers citing papers by Nadav Rappoport

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadav Rappoport. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nadav Rappoport. The network helps show where Nadav Rappoport may publish in the future.

Co-authorship network of co-authors of Nadav Rappoport

This figure shows the co-authorship network connecting the top 25 collaborators of Nadav Rappoport. A scholar is included among the top collaborators of Nadav Rappoport based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nadav Rappoport. Nadav Rappoport is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Advancing causal inference in medicine using biobank data 2025 ·Journal of Biomedical Informatics ·H Kaufman, Nadav Rappoport, (unknown), Michal Linial	0
2	Incidence of gout diagnosis among participants with hyperuricemia, insights from a nationwide cohort study 2025 ·Seminars in Arthritis and Rheumatism ·(unknown), (unknown), (unknown), Ran Abuhasira, Naomi Schlesinger, (unknown), Amir Bieber, Nadav Rappoport	1
3	MedConceptsQA: Open source medical concepts QA benchmark 2024 ·Computers in Biology and Medicine ·(unknown), Nadav Rappoport	5
4	Surgery Duration Prediction Using Multi-Task Feature Selection 2024 ·IEEE Journal of Biomedical and Health Informatics ·(unknown), Yosef Rinott, Orna Tal, (unknown), Nadav Rappoport	1
5	Federated learning of medical concepts embedding using BEHRT 2024 ·JAMIA Open ·(unknown), Nadav Rappoport	5
6	CPLLM: Clinical prediction with large language models 2024 ·SHILAP Revista de lepidopterología ·(unknown), Nadav Rappoport	12
7	A machine learning-based prediction model for gout in hyperuricemics: a nationwide cohort study 2024 ·Lara D. Veeken ·(unknown), (unknown), Ran Abuhasira, Naomi Schlesinger, Amir Bieber, Nadav Rappoport	4
8	Inflammatory signals from fatty bone marrow support DNMT3A driven clonal hematopoiesis 2023 ·Nature Communications ·(unknown), (unknown), Noa Chapal-Ilani, (unknown), Nadav Rappoport, Adam Solomon, Roi Avraham, (unknown), Ziv Porat, Mehmet Saçma, (unknown), Marina Scheller, Carsten Müller‐Tidow, Daniel B. Lipka, Ekaterina Shlush, Mark D. Minden, Nathali Kaushansky, Liran I. Shlush	37
9	Does the “Obesity Paradox” Have an Expiration Date? A Retrospective Cohort Study 2023 ·Journal of Clinical Medicine ·(unknown), (unknown), Sa’ar Minha, Nadav Rappoport, Ronit Zaidenstein, Ronit Koren	3
10	ProteinBERT: a universal deep-learning model of protein sequence and function breakdown → 2022 ·Bioinformatics ·Nadav Brandes, Dan Ofer, (unknown), Nadav Rappoport, Michal Linial	451
11	Identification of a pleiotropic effect of ADIPOQ on cardiac dysfunction and Alzheimer’s disease based on genetic evidence and health care records 2022 ·Translational Psychiatry ·(unknown), Junehawk Lee, Chanseok Jeong, Jun Sung Park, Jeong Ho Lee, Nadav Rappoport, Young‐Hoon Kim, (unknown), Chulman Jo, Jimin Kim, Seong Beom Cho	3
12	Resternotomy Coronary Artery Bypass 1999-2018: Insights From The Society of Thoracic Surgeons Adult Cardiac Surgery Database 2022 ·The Annals of Thoracic Surgery ·Nadav Rappoport, (unknown), David M. Shahian, Amit Korach, Shai Carmi, John F. Keaney, Oz M. Shapira	8
13	Do geography and ethnicity play a role in juvenile Spondyloarthritis? A multi-center binational retrospective study 2021 ·Pediatric Rheumatology ·(unknown), Merav Heshin‐Bekenstein, Kimberly DeQuattro, (unknown), (unknown), Nadav Rappoport, Yonatan Butbul Aviel, Irit Tirosh, Liora Harel, Pamela F. Weiss, Lianne S. Gensler, John D. MacKenzie, Gil Amarilyo	4
14	Bladder Cancer Immunotherapy by BCG Is Associated with a Significantly Reduced Risk of Alzheimer’s Disease and Parkinson’s Disease 2021 ·Vaccines ·(unknown), Brian L. Hill, Noam Barda, Eran Halperin, Ofer N. Gofrit, Charles L. Greenblatt, Nadav Rappoport, Michal Linial, Hervé Bercovier	44
15	Tracing diagnosis trajectories over millions of patients reveal an unexpected risk in schizophrenia 2019 ·Scientific Data ·Harikrishna Paik, Matthew J. Kan, Nadav Rappoport, Dexter Hadley, Marina Sirota, Bin Chen, (unknown), (unknown), Atul J. Butte	11
16	Comparing Ethnicity-Specific Reference Intervals for Clinical Laboratory Tests from EHR Data 2018 ·The Journal of Applied Laboratory Medicine ·Nadav Rappoport, Harikrishna Paik, Boris Oskotsky, Ruth Tor, Elad Ziv, Noah Zaitlen, Atul J. Butte	24
17	Trends in genome dynamics among major orders of insects revealed through variations in protein families 2015 ·BMC Genomics ·Nadav Rappoport, Michal Linial	4
18	NeuroPID: a classifier of neuropeptide precursors 2014 ·Nucleic Acids Research ·(unknown), Nadav Rappoport, Dan Ofer, (unknown), Michal Linial	12
19	Functional inference by ProtoNet family tree: the uncharacterized proteome of Daphnia pulex 2013 ·BMC Bioinformatics ·Nadav Rappoport, Michal Linial	1
20	Viral Proteins Acquired from a Host Converge to Simplified Domain Architectures 2012 ·PLoS Computational Biology ·Nadav Rappoport, Michal Linial	27

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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