Gábor Csordás

976 total citations
25 papers, 580 citations indexed

About

Gábor Csordás is a scholar working on Immunology, Insect Science and Cellular and Molecular Neuroscience. According to data from OpenAlex, Gábor Csordás has authored 25 papers receiving a total of 580 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Immunology, 13 papers in Insect Science and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Gábor Csordás's work include Invertebrate Immune Response Mechanisms (16 papers), Insect symbiosis and bacterial influences (13 papers) and Neurobiology and Insect Physiology Research (8 papers). Gábor Csordás is often cited by papers focused on Invertebrate Immune Response Mechanisms (16 papers), Insect symbiosis and bacterial influences (13 papers) and Neurobiology and Insect Physiology Research (8 papers). Gábor Csordás collaborates with scholars based in Hungary, Germany and Sweden. Gábor Csordás's co-authors include Viktor Honti, István Andó, Éva Kurucz, Róbert Márkus, Ferenc Jankovics, Mirka Uhlířová, Gábor Juhász, Gyöngyi Cinege, János Zsámboki and Isabelle Grass and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Developmental Biology.

In The Last Decade

Gábor Csordás

24 papers receiving 573 citations

Peers

Gábor Csordás
Comparison fields: 5 of 67
  • Immunology 368
  • Insect Science 271
  • Cellular and Molecular Neuroscience 179
  • Molecular Biology 154
  • Cell Biology 102
Replace Anderl Ines with:
Anderl Ines Sweden
Allison K. Timmons United States
Enen Guo China
János Zsámboki Hungary
Katja Kapp Germany
Ruigong Wang Sweden
Viktor Honti Hungary
Brandy Alexander United States
Richard Paul Sorrentino United States
Ismaël Morin-Poulard France
Anderl Ines Sweden View profile →
Citations per field, relative to Gábor Csordás
Gábor Csordás · 1×
Citations per year, relative to Gábor Csordás
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Countries citing papers authored by Gábor Csordás

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Csordás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gábor Csordás

This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Csordás. A scholar is included among the top collaborators of Gábor Csordás 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 Gábor Csordás. Gábor Csordás 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
# Work Indexed citations
1 1
2 5
3 0
4 17
5 2
6 11
7 9
8 21
9 5
10 18
11 10
12 13
13 52
14 6
15 11
16 5
17 16
18 18
19 146
20 103

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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