Damián Kovalovsky

2.0k citations
30 papers · 1.6k indexed · h-index 18
Topics
Immune Cell Function and Interaction (11 papers)T-cell and B-cell Immunology (10 papers)CAR-T cell therapy research (7 papers)

In The Last Decade

Damián Kovalovsky

30 papers receiving 1.6k citations

Peers

Damián Kovalovsky
Comparison fields: 5 of 92
  • Immunology 839
  • Molecular Biology 505
  • Oncology 312
  • Endocrinology, Diabetes and Metabolism 248
  • Cellular and Molecular Neuroscience 177
Replace Olivier Kassel with:
Olivier Kassel Germany
Xueli Fan China
Tanja Stoyan Germany
Isabelle Millet United States
Stephen Malin Sweden
Adam Krzystyniak Poland
Samuel García Netherlands
Michelle Krakowski Canada
Jean‐Marie Pléau France
Damián Kovalovsky relative to Olivier Kassel Germany Olivier Kassel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Damián Kovalovsky

Since Specialization
Citations

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

Fields of papers citing papers by Damián Kovalovsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Damián Kovalovsky

This figure shows the co-authorship network connecting the top 25 collaborators of Damián Kovalovsky. A scholar is included among the top collaborators of Damián Kovalovsky 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 Damián Kovalovsky. Damián Kovalovsky 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 8
2 18
3 21
4 41
5 5
6 72
7 3
8 27
9 25
10 8
11 433
12 54
13 20
14 23
15 158
16 21
17 44
18 83
19 17
20
[Mechanisms of glucocorticoid sensitivity modulation by cytokines].
4

About Damián Kovalovsky

Damián Kovalovsky is a scholar working on Immunology, Oncology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (11 papers), T-cell and B-cell Immunology (10 papers) and CAR-T cell therapy research (7 papers). The work is most often cited by research in Immunology (839 citations), Behavioral Neuroscience (82 citations) and Endocrinology, Diabetes and Metabolism (248 citations). Damián Kovalovsky has collaborated with scholars based in United States, Argentina and Germany. Frequent co-authors include Derek B. Sant’Angelo, Eduardo Arzt, Marcelo Páez-Pereda, Günter K. Stalla, Eric Alonzo, Robin M. Hobbs, Pier Paolo Pandolfi, Hye Jung Kim, Woelsung Yi and Kevin Chua. Their work appears in journals such as Journal of Clinical Investigation, Blood and Nature 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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