Stefan Kirov

4.6k citations
26 papers · 2.3k indexed · 1 hit paper · h-index 13
Topics
Cancer Genomics and Diagnostics (6 papers)Bioinformatics and Genomic Networks (5 papers)Gene expression and cancer classification (5 papers)
Journals
Nucleic Acids ResearchSHILAP Revista de lepidopterologíaBioinformatics

In The Last Decade

Stefan Kirov

25 papers receiving 2.3k citations

Hit Papers

WebGestalt: an integrated system for exploring gene sets ...200520262012201920054008001.2k

Peers

Stefan Kirov
Comparison fields: 5 of 140
  • Molecular Biology 1.6k
  • Cancer Research 415
  • Genetics 371
  • Oncology 245
  • Immunology 227
Replace Manhong Dai with:
Manhong Dai United States
Eric E. Bardes United States
Jay Snoddy United States
Eric J. Jaehnig United States
Yuxing Liao United States
Bernward Klocke Germany
Megan L. Wojciechowicz United States
Eryk Kropiwnicki United States
Céline Lefèbvre France
Xiaobei Zhao United States
Stefan Kirov relative to Manhong Dai United States Manhong Dai's profile →
Citations per field
00.5×1.5×
Manhong Dai · 1×
Citations per year

Countries citing papers authored by Stefan Kirov

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Kirov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Kirov

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Kirov. A scholar is included among the top collaborators of Stefan Kirov 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 Stefan Kirov. Stefan Kirov 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 1
2 0
3 6
4 7
5 25
6 38
7 4
8 16
9 72
10 17
11 20
12 83
13 76
14 10
15
WebGestalt: an integrated system for exploring gene sets in various biological contextsbreakdown →
1478
16 35
17 29
18 380
19 4
20 4

About Stefan Kirov

Stefan Kirov is a scholar working on Cancer Research, Behavioral Neuroscience and Molecular Biology, having authored 26 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (6 papers), Bioinformatics and Genomic Networks (5 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Cancer Research (415 citations), Molecular Biology (1.6k citations) and Biological Psychiatry (39 citations). Stefan Kirov has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jay Snoddy, Bing Zhang, Bing Zhang, Denise D. Schmoyer, Wyeth W. Wasserman, Élodie Portales-Casamar, Magdalena I. Swanson, David J. Arenillas, Jonathan Lim and Stuart Lithwick. Their work appears in journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Bioinformatics.

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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