Nadesan Gajendran

571 citations
14 papers · 451 indexed · h-index 11

Nadesan Gajendran

13 papers receiving 447 citations

Peers

Nadesan Gajendran
Comparison fields: 5 of 65
  • Microbiology 83
  • Cellular and Molecular Neuroscience 80
  • Molecular Biology 302
  • Cell Biology 45
  • Immunology 55
Replace Marek Szatanik with:
Marek Szatanik France
Daniela Roth United States
Jens Jäger Germany
Haniaa Bouzinba-Ségard France
Laura Cogli Italy
Juliette Molnos Switzerland
Himanshu Malhotra India
Denise Vogel Switzerland
Stuart Avery United Kingdom
Bernard Hauttecoeur France
Nadesan Gajendran relative to Marek Szatanik France Marek Szatanik's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nadesan Gajendran

Since Specialization
Citations

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

Fields of papers citing papers by Nadesan Gajendran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nadesan Gajendran, 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 Nadesan Gajendran Line = papers co-authored together Nadesan Gajendran links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 201176
2 20090
3 200919
4 200932
5 20078
6 2005115
7 200367
8 200213
9 199935
10
Karyotype polymorphism and conserved characters in the Leishmania (Viannia) braziliensis complex explored with chromosome-derived probes.
199324
11 199211
12 199223
13 199121
14
Leishmaniasis in the lowlands of Bolivia. VII. Characterization and identification of Bolivian isolates by PFG karyotyping
19877

About Nadesan Gajendran

Nadesan Gajendran is a scholar working on Developmental Neuroscience, Virology and Epidemiology, having authored 14 papers that have together received 451 indexed citations. Recurring topics across this work include Research on Leishmaniasis Studies (4 papers), Trypanosoma species research and implications (4 papers), Ion channel regulation and function (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Muscle Physiology and Disorders (2 papers), Biochemical and Molecular Research (2 papers), Viral gastroenteritis research and epidemiology (1 paper) and Mycobacterium research and diagnosis (1 paper). The work is most often cited by research in Microbiology (83 citations), Cellular and Molecular Neuroscience (80 citations) and Molecular Biology (302 citations). Nadesan Gajendran has collaborated with scholars based in Switzerland, Belgium and Germany. Frequent co-authors include Hans Rudolf Brenner, Sophie Le Calvez, Éric Lacazette, Stefan H. E. Kaufmann, Robert Hurwitz, Matthias Weiwad, Gunter Fischer, Young‐Hwa Song, Hans‐Willi Mittrücker and Matthias Wilmanns. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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