Stephen B. Kovacs

1.7k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Stephen B. Kovacs is a scholar working on Molecular Biology, Hematology and Immunology. According to data from OpenAlex, Stephen B. Kovacs has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Immunology. Recurrent topics in Stephen B. Kovacs's work include Inflammasome and immune disorders (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Viral Infections and Vectors (2 papers). Stephen B. Kovacs is often cited by papers focused on Inflammasome and immune disorders (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers) and Viral Infections and Vectors (2 papers). Stephen B. Kovacs collaborates with scholars based in United States. Stephen B. Kovacs's co-authors include Edward A. Miao, Youssef Aachoui, Changhoon Oh, Ambika Verma, Vivien I. Maltez, Irini Sereti, Bo Wei, Angélique Biancotto, Joseph A. Kovacs and Jamieson H. Greenwald and has published in prestigious journals such as Blood, Journal of Virology and The Journal of Infectious Diseases.

In The Last Decade

Stephen B. Kovacs

9 papers receiving 1.2k citations

Hit Papers

Gasdermins: Effectors of Pyroptosis 2017 2026 2020 2023 2017 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Stephen B. Kovacs United States 8 943 411 198 152 138 9 1.2k
Natália Ketelut-Carneiro Brazil 11 798 0.8× 391 1.0× 130 0.7× 105 0.7× 170 1.2× 14 1.1k
Joseph K. Rathkey United States 9 1.2k 1.2× 502 1.2× 274 1.4× 76 0.5× 110 0.8× 13 1.3k
Christina J. Thomas Germany 6 794 0.8× 571 1.4× 84 0.4× 90 0.6× 183 1.3× 7 1.2k
Narcis I. Popescu United States 15 554 0.6× 600 1.5× 66 0.3× 138 0.9× 253 1.8× 27 1.3k
Hiroko Kushiyama Japan 8 619 0.7× 308 0.7× 90 0.5× 70 0.5× 79 0.6× 9 819
Chantal S. Colmont United Kingdom 15 469 0.5× 461 1.1× 86 0.4× 101 0.7× 172 1.2× 19 1.2k
Xian Chen China 19 387 0.4× 375 0.9× 97 0.5× 60 0.4× 113 0.8× 64 1.1k
Florian Hoß Germany 9 1.1k 1.2× 1.0k 2.5× 116 0.6× 99 0.7× 243 1.8× 10 1.8k
Wael N. Jarjour United States 18 439 0.5× 380 0.9× 67 0.3× 45 0.3× 130 0.9× 54 1.1k
Hideharu Abe Japan 21 640 0.7× 443 1.1× 578 2.9× 144 0.9× 120 0.9× 69 1.7k

Countries citing papers authored by Stephen B. Kovacs

Since Specialization
Citations

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

Fields of papers citing papers by Stephen B. Kovacs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen B. Kovacs. 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 Stephen B. Kovacs. The network helps show where Stephen B. Kovacs may publish in the future.

Co-authorship network of co-authors of Stephen B. Kovacs

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen B. Kovacs. A scholar is included among the top collaborators of Stephen B. Kovacs 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 Stephen B. Kovacs. Stephen B. Kovacs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Billman, Zachary P., et al.. (2024). Caspase-1 activates gasdermin A in non-mammals. eLife. 12. 18 indexed citations
2.
Billman, Zachary P., et al.. (2023). Caspase-1 activates gasdermin A in non-mammals. eLife. 12. 14 indexed citations
3.
Li, Lupeng, Stephen B. Kovacs, Ine Jørgensen, et al.. (2022). Role of Caspases and Gasdermin A during HSV-1 Infection in Mice. Viruses. 14(9). 2034–2034. 8 indexed citations
4.
Kovacs, Stephen B., Changhoon Oh, Youssef Aachoui, & Edward A. Miao. (2020). Evaluating cytokine production by flow cytometry using brefeldin A in mice. STAR Protocols. 2(1). 100244–100244. 15 indexed citations
5.
Kovacs, Stephen B., Changhoon Oh, Vivien I. Maltez, et al.. (2020). Neutrophil Caspase-11 Is Essential to Defend against a Cytosol-Invasive Bacterium. Cell Reports. 32(4). 107967–107967. 53 indexed citations
6.
Kovacs, Stephen B. & Edward A. Miao. (2017). Gasdermins: Effectors of Pyroptosis. Trends in Cell Biology. 27(9). 673–684. 1017 indexed citations breakdown →
7.
Kovacs, Stephen B., Virginia Sheikh, William L. Thompson, et al.. (2015). T-Cell Depletion in the Colonic Mucosa of Patients With Idiopathic CD4+Lymphopenia. The Journal of Infectious Diseases. 212(10). 1579–1587. 9 indexed citations
8.
Polizzotto, Mark N., Irini Sereti, Thomas S. Uldrick, et al.. (2014). Pomalidomide Induces Expansion of Activated and Central Memory CD4+ and CD8+ T Cells in Vivo in Patients with and without HIV Infection. Blood. 124(21). 4128–4128. 4 indexed citations
9.
Ciccone, Emily J., Jamieson H. Greenwald, Angélique Biancotto, et al.. (2011). CD4 + T Cells, Including Th17 and Cycling Subsets, Are Intact in the Gut Mucosa of HIV-1-Infected Long-Term Nonprogressors. Journal of Virology. 85(12). 5880–5888. 66 indexed citations

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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