Genya Gekker

5.3k citations
80 papers · 4.3k indexed · 1 hit paper · h-index 37

Genya Gekker

80 papers receiving 4.2k citations

Hit Papers

Role of Microglia in Central Nervous System Infections5612004202620112018100200300400500

Peers

Genya Gekker
Comparison fields: 5 of 116
  • Virology 950
  • Neurology 1.1k
  • Biological Psychiatry 326
  • Cellular and Molecular Neuroscience 1.2k
  • Immunology 971
Replace Milan Fiala with:
Milan Fiala United States
Chun C. Chao United States
Thomas W. Molitor United States
Yvonne Kress United States
James R. Lokensgard United States
Toby K. Eisenstein United States
Thomas J. Rogers United States
Michael G. Agadjanyan United States
Wen‐Zhe Ho United States
Margarida Correia‐Neves Portugal
Genya Gekker relative to Milan Fiala United States Milan Fiala's profile →
Citations per field
00.5×1.5×2.4×
Milan Fiala · 1×
Citations per year

Countries citing papers authored by Genya Gekker

Since Specialization
Citations

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

Fields of papers citing papers by Genya Gekker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Genya Gekker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Genya Gekker Line = papers co-authored together Genya Gekker links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20061
2 200670
3 2005122
4 200133
5 200142
6 200040
7 200033
8 199953
9 199818
10 19986
11 199811
12 199727
13 199547
14 199512
15 199497
16 199367
17 199344
18 199263
19 199217
20 198725

About Genya Gekker

Genya Gekker is a scholar working on Virology, Neurology and Biological Psychiatry, having authored 80 papers that have together received 4.3k indexed citations. Recurring topics across this work include HIV Research and Treatment (34 papers), Neuropeptides and Animal Physiology (27 papers), Neuroinflammation and Neurodegeneration Mechanisms (23 papers), Cytomegalovirus and herpesvirus research (12 papers), Immune Cell Function and Interaction (11 papers), Receptor Mechanisms and Signaling (9 papers), Pharmacological Receptor Mechanisms and Effects (8 papers) and Immune Response and Inflammation (8 papers). The work is most often cited by research in Virology (950 citations), Neurology (1.1k citations) and Biological Psychiatry (326 citations). Genya Gekker has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Phillip K. Peterson, Shuxian Hu, Wen S. Sheng, Burt M. Sharp, James R. Lokensgard, Maxim C.‐J. Cheeran, Chun C. Chao, R. Bryan Rock, James R. Lokensgard and Henry H. Balfour. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

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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