Ravi Dandekar

1.7k total citations
18 papers, 426 citations indexed

About

Ravi Dandekar is a scholar working on Immunology, Neurology and Infectious Diseases. According to data from OpenAlex, Ravi Dandekar has authored 18 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 5 papers in Neurology and 3 papers in Infectious Diseases. Recurrent topics in Ravi Dandekar's work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (9 papers) and IL-33, ST2, and ILC Pathways (4 papers). Ravi Dandekar is often cited by papers focused on T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (9 papers) and IL-33, ST2, and ILC Pathways (4 papers). Ravi Dandekar collaborates with scholars based in United States, Brazil and Germany. Ravi Dandekar's co-authors include Jill A. Hollenbach, Paul J. Norman, Danillo G. Augusto, Michael R. Wilson, Wesley M. Marin, Scott S. Zamvil, Frank R. Sharp, Chantal Sellier, Kathleen Angkustsiri and Tony J. Simon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Immunology and PLoS ONE.

In The Last Decade

Ravi Dandekar

17 papers receiving 416 citations

Peers

Ravi Dandekar
Comparison fields: 5 of 59
  • Immunology 175
  • Neurology 114
  • Molecular Biology 108
  • Infectious Diseases 65
  • Pathology and Forensic Medicine 62
Replace Mathula Thangarajh with:
Mathula Thangarajh Sweden
Alexandra Garcia France
Luis Dávila-Maldonado Mexico
Jian Bao China
Chloé Bost France
Maureen Richards United States
Anastasie Dunn‐Pirio United States
Toshihiro Imaizumi Japan
J. Ludovic Croxford United States
Mathula Thangarajh Sweden View profile →
Citations per field, relative to Ravi Dandekar
Ravi Dandekar · 1×
Citations per year, relative to Ravi Dandekar
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Countries citing papers authored by Ravi Dandekar

Since Specialization
Citations

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

Fields of papers citing papers by Ravi Dandekar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravi Dandekar

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 5
2 7
3 46
4 52
5 19
6 19
7 27
8 9
9
Evidence of an increased burden of humoral autoimmunity in the CSF and plasma of COVID-19 patients with comorbid neurologic dysfunction
0
10 23
11 19
12 2
13 13
14 23
15 48
16 43
17 5
18 66

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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