Alexander Gusev

24.0k citations
91 papers · 5.9k indexed · 3 hit papers · h-index 33
Topics
Genetic Associations and Epidemiology (43 papers)Genetic Mapping and Diversity in Plants and Animals (18 papers)Cancer Genomics and Diagnostics (18 papers)

In The Last Decade

Alexander Gusev

84 papers receiving 5.9k citations

Hit Papers

An atlas of genetic correlations across human diseases an...201520262018202220152018202450010001.5k2.0k

Peers

Alexander Gusev
Comparison fields: 5 of 158
  • Genetics 3.6k
  • Molecular Biology 2.2k
  • Cancer Research 518
  • Oncology 468
  • Pulmonary and Respiratory Medicine 400
Replace Damjan Vukcevic with:
Damjan Vukcevic Australia
Olivier Delaneau Switzerland
Stephen Leslie United States
Clare Bycroft United Kingdom
Colin Freeman United Kingdom
Adrián Cortés United Kingdom
Yukinori Okada Japan
Kevin Sharp United States
Gavin Band United Kingdom
Yoichiro Kamatani Japan
Alexander Gusev relative to Damjan Vukcevic Australia Damjan Vukcevic's profile →
Citations per field
00.5×4.3×
Damjan Vukcevic · 1×
Citations per year

Countries citing papers authored by Alexander Gusev

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Gusev

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Gusev

This figure shows the co-authorship network connecting the top 25 collaborators of Alexander Gusev. A scholar is included among the top collaborators of Alexander Gusev 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 Alexander Gusev. Alexander Gusev 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 2
2 0
3 6
4 4
5 6
6 1
7 16
8 8
9 27
10 15
11 12
12 9
13 12
14 41
15 71
16 45
17 9
18 66
19
Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insightsbreakdown →
293
20 19

About Alexander Gusev

Alexander Gusev is a scholar working on Genetics, Cancer Research and Health Informatics, having authored 91 papers that have together received 5.9k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (43 papers), Genetic Mapping and Diversity in Plants and Animals (18 papers) and Cancer Genomics and Diagnostics (18 papers). The work is most often cited by research in Genetics (3.6k citations), Cancer Research (518 citations) and Biological Psychiatry (85 citations). Alexander Gusev has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Alkes L. Price, Hilary K. Finucane, Benjamin M. Neale, Po‐Ru Loh, Brendan Bulik‐Sullivan, Mark J. Daly, Laramie E. Duncan, Elise Robinson, Verneri Anttila and Felix R. Day. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.

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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