Ivan Adzhubei

24.0k citations
20 papers · 3.4k indexed · 1 hit paper · h-index 12
Topics
RNA and protein synthesis mechanisms (8 papers)Genomics and Phylogenetic Studies (7 papers)Genomics and Rare Diseases (5 papers)

In The Last Decade

Ivan Adzhubei

20 papers receiving 3.4k citations

Hit Papers

Predicting Functional Effect of Human Missense Mutations ...2013202620172021201350010001.5k2.0k

Peers

Ivan Adzhubei
Comparison fields: 5 of 132
  • Molecular Biology 2.2k
  • Genetics 1.3k
  • Cancer Research 450
  • Oncology 248
  • Cell Biology 206
Replace Daniel M. Jordan with:
Daniel M. Jordan United States
Michael B. Gorin United States
Emily H. Turner United States
Matthew N. Bainbridge United States
Michele D’Urso Italy
Vasily Ramensky Russia
Sabine Costagliola Belgium
Periannan Senapathy United States
Andrea Bodnár Hungary
Momoki Hirai Japan
Ivan Adzhubei relative to Daniel M. Jordan United States Daniel M. Jordan's profile →
Citations per field
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Daniel M. Jordan · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 9
2 8
3 3
4 3
5 1
6 6
7 133
8
Predicting Functional Effect of Human Missense Mutations Using PolyPhen‐2breakdown →
2442
9 109
10 296
11 70
12 31
13 3
14 207
15 14
16 20
17 11
18 15
19 29
20 39

About Ivan Adzhubei

Ivan Adzhubei is a scholar working on Genetics, Molecular Biology and Cancer Research, having authored 20 papers that have together received 3.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (8 papers), Genomics and Phylogenetic Studies (7 papers) and Genomics and Rare Diseases (5 papers). The work is most often cited by research in Genetics (1.3k citations), Molecular Biology (2.2k citations) and Cancer Research (450 citations). Ivan Adzhubei has collaborated with scholars based in United States, Russia and Germany. Frequent 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. Their work appears in journals such as Nature, Nucleic Acids Research and Nature Communications.

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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