Chandrakumar Dolla

944 citations
32 papers · 653 · h-index 18

Impact in

    • Parasites and Host Interactions
    • Tuberculosis Research and Epidemiology
    • Parasitic Diseases Research and Treatment

Papers in

Chandrakumar Dolla

32 papers receiving 648 citations

Peers

Chandrakumar Dolla
Comparison fields: 5 of 70
  • Parasitology 212
  • Infectious Diseases 305
  • Immunology 131
  • Epidemiology 145
  • Small Animals 23
Replace Paul Kumaran with:
Paul Kumaran India
Miriam Nieves Mexico
Rashida Moore United States
Oswaldo Partida‐Rodríguez Mexico
Marina Harvie Australia
Simon Metenou United States
Nicolas Barros United States
Kathryn Dupnik United States
Paul Ogongo Kenya
Clarissa Prazeres da Costa Germany
Chandrakumar Dolla relative to Paul Kumaran India Paul Kumaran's profile →
Citations per field
00.5×1.5×
Paul Kumaran · 1×
Citations per year

Countries citing papers authored by Chandrakumar Dolla

Since Specialization
Citations

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

Fields of papers citing papers by Chandrakumar Dolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201845
2 201541
3 201540
4 201635
5 202034
6 201631
7 201530
8 201830
9 201629
10 201527
11 201525
12 201525
13 202023
14 201722
15 201919
16 201619
17 201719
18 202017
19 201615
20 201515

About Chandrakumar Dolla

Chandrakumar Dolla is a scholar working on Infectious Diseases, Parasitology, Epidemiology, Surgery and Immunology, having authored 32 papers that have together received 653 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (16 papers), Parasites and Host Interactions (15 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers), Mycobacterium research and diagnosis (5 papers), Infectious Diseases and Tuberculosis (3 papers), Diagnosis and treatment of tuberculosis (2 papers), Immune Cell Function and Interaction (2 papers) and Research on Leishmaniasis Studies (2 papers). The work is most often cited by research in Parasitology (212 citations), Infectious Diseases (305 citations), Immunology (131 citations), Epidemiology (145 citations) and Small Animals (23 citations). Chandrakumar Dolla has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Subash Babu, Paul Kumaran, Anuradha Rajamanickam, Saravanan Munisankar, Thomas B. Nutman, Nathella Pavan Kumar, Kadar Moideen, Kannan Thiruvengadam, Pradeep A. Menon and Parakkal Jovvian George. Their work appears in journals such as Infection and Immunity, Tuberculosis, PLoS neglected tropical diseases, The Journal of Immunology and Frontiers in 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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