Ivan Adzhubei

24.0k total citations · 1 hit paper
20 papers, 3.4k citations indexed

About

Ivan Adzhubei is a scholar working on Molecular Biology, Genetics and Spectroscopy. According to data from OpenAlex, Ivan Adzhubei has authored 20 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Genetics and 3 papers in Spectroscopy. Recurrent topics in Ivan Adzhubei's work include RNA and protein synthesis mechanisms (8 papers), Genomics and Phylogenetic Studies (7 papers) and Genomics and Rare Diseases (5 papers). Ivan Adzhubei is often cited by papers focused on RNA and protein synthesis mechanisms (8 papers), Genomics and Phylogenetic Studies (7 papers) and Genomics and Rare Diseases (5 papers). Ivan Adzhubei collaborates with scholars based in United States, Russia and Germany. Ivan Adzhubei's co-authors include Shamil Sunyaev, Daniel M. Jordan, Gregory V. Kryukov, Robert E. Thurman, J Stamatoyannopoulos, Sergei M. Mirkin, Fyodor A. Kondrashov, Yuri I. Wolf, Alexey S. Kondrashov and Eugene V. Koonin and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ivan Adzhubei

20 papers receiving 3.4k 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.

Predicting Functional Effect of Human Missense Mutations Using PolyPhen‐2

2013 2.4k citations Ivan Adzhubei, Daniel M. Jordan et al. Current Protocols in Human Genetics profile →

Peers

Countries citing papers authored by Ivan Adzhubei

Since Specialization

Citations

This map shows the geographic impact of Ivan Adzhubei'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 Ivan Adzhubei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Adzhubei more than expected).

Fields of papers citing papers by Ivan Adzhubei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ivan Adzhubei. 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 Ivan Adzhubei. The network helps show where Ivan Adzhubei may publish in the future.

Co-authorship network of co-authors of Ivan Adzhubei

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Adzhubei. A scholar is included among the top collaborators of Ivan Adzhubei 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 Ivan Adzhubei. Ivan Adzhubei 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	Carriers of Heterozygous Loss-of-Function ACE Mutations Are at Risk for Alzheimer’s Disease 2024 ·Biomedicines ·Sergei M. Danilov, Ivan Adzhubei, (unknown), Pavel A. Petukhov, (unknown), Ananyo Choudhury, Dhriti Sengupta, Steven M. Dudek	9
2	DeMAG predicts the effects of variants in clinically actionable genes by integrating structural and evolutionary epistatic features 2023 ·Nature Communications ·(unknown), Ivan Adzhubei, Christopher A. Cassa, Ágnes Tóth-Petróczy	8
3	Small open reading frames: a comparative genetics approach to validation 2023 ·BMC Genomics ·(unknown), Felix Richter, Ivan Adzhubei, Andrew J. Sharp, Bruce D. Gelb	3
4	Informing variant assessment using structured evidence from prior classifications (PS1, PM5, and PVS1 sequence variant interpretation criteria) 2022 ·Genetics in Medicine ·(unknown), Ivan Adzhubei, (unknown), Matthew S. Lebo, Christopher A. Cassa	3
5	A literature review at genome scale: improving clinical variant assessment 2018 ·Genetics in Medicine ·Christopher A. Cassa, Daniel M. Jordan, Ivan Adzhubei, Shamil Sunyaev	1
6	Transcriptomic insights into genetic diversity of protein-coding genes in X. laevis 2017 ·Developmental Biology ·Virginia Savova, Esther J. Pearl, Elvan Böke, Anwesha Nag, Ivan Adzhubei, Marko E. Horb, Leonid Peshkin	6
7	No evidence that selection has been less effective at removing deleterious mutations in Europeans than in Africans 2015 ·Nature Genetics ·Ron Do, Daniel J. Balick, Heng Li, Ivan Adzhubei, Shamil Sunyaev, David Reich	133
8	Predicting Functional Effect of Human Missense Mutations Using PolyPhen‐2 breakdown → 2013 ·Current Protocols in Human Genetics ·Ivan Adzhubei, Daniel M. Jordan, Shamil Sunyaev	2442
9	Mutation mapping and identification by whole-genome sequencing 2012 ·Genome Research ·Ignaty Leshchiner, Kristen Alexa, Peter B. Kelsey, Ivan Adzhubei, Christina Austin‐Tse, Jeffrey D. Cooney, Heidi Anderson, Matthew J. King, Rolf W. Stottmann, Maija Garnaas, Seungshin Ha, Iain A. Drummond, Barry H. Paw, Trista E. North, David R. Beier, Wolfram Goessling, Shamil Sunyaev	109
10	Human mutation rate associated with DNA replication timing 2009 ·Nature Genetics ·J Stamatoyannopoulos, Ivan Adzhubei, Robert E. Thurman, Gregory V. Kryukov, Sergei M. Mirkin, Shamil Sunyaev	296
11	Protein identification pipeline for the homology-driven proteomics 2008 ·Journal of Proteomics ·Magno Junqueira, Victor Spirin, Tiago Santana Balbuena, Henrik Thomas, Ivan Adzhubei, Shamil Sunyaev, Andrej Shevchenko	70
12	Separating the Wheat from the Chaff: Unbiased Filtering of Background Tandem Mass Spectra Improves Protein Identification 2008 ·Journal of Proteome Research ·Magno Junqueira, Victor Spirin, Tiago Santana Balbuena, Patrice Waridel, Vineeth Surendranath, Gregory V. Kryukov, Ivan Adzhubei, Henrik Thomas, Shamil Sunyaev, Andrej Shevchenko	31
13	Causes of trends in amino-acid gain and loss (Reply) 2006 ·Nature ·I. King Jordan, Fyodor A. Kondrashov, Ivan Adzhubei, Yuri I. Wolf, Eugene V. Koonin, Alexey S. Kondrashov, Shamil Sunyaev	3
14	A universal trend of amino acid gain and loss in protein evolution 2005 ·Nature ·I. King Jordan, Fyodor A. Kondrashov, Ivan Adzhubei, Yuri I. Wolf, Eugene V. Koonin, Alexey S. Kondrashov, Shamil Sunyaev	207
15	ISSD Version 2.0: taxonomic range extended 1999 ·Nucleic Acids Research ·Ivan Adzhubei, Alexei A. Adzhubei	14
16	An Integrated Sequence-Structure Database incorporating matching mRNA sequence, amino acid sequence and protein three-dimensional structure data 1998 ·Nucleic Acids Research ·Ivan Adzhubei	20
17	Melting of the left‐handed helical conformation of charged poly‐L‐lysine 1994 ·Biopolymers ·Alexander А. Makarov, Ivan Adzhubei, Irina I. Protasevich, Vladimir M. Lobachov, Gerald D. Fasman	11
18	Scanning microcalorimetry and circular dichroism study of melting of the natural polypeptides in the left-handed helical conformation 1993 ·Journal of Protein Chemistry ·Alexander Makarov, Ivan Adzhubei, Irina I. Protasevich, Vladimir M. Lobachov, Esipova Ng	15
19	Natural polypeptides in left‐handed helical conformation A circular dichroism study of the linker histones’ C‐terminal fragments and β‐endorphin 1992 ·FEBS Letters ·Alexander А. Makarov, Vladimir M. Lobachov, Ivan Adzhubei, Esipova Ng	29
20	Nonuniform size distribution of nascent globin peptides, evidence for pause localization sites, and a cotranslational protein-folding model 1991 ·Journal of Protein Chemistry ·Igor A. Krasheninnikov, Anton A. Komar, Ivan Adzhubei	39

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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