Manne Munikumar

34 papers receiving 525 citations

Peers

Manne Munikumar
Comparison fields: 5 of 88
  • Computational Theory and Mathematics 126
  • Infectious Diseases 113
  • Pharmacology 39
  • Complementary and alternative medicine 34
  • Pathology and Forensic Medicine 56
Replace Syed Naqui Kazim with:
Syed Naqui Kazim India
Shovonlal Bhowmick India
Ashish Kumar India
Madhu Cholenahalli Lingaraju India
Shalki Choudhary India
Rebecca Mary Peter United States
Minsu Jang South Korea
Salima Lalani Malaysia
Hsiao‐Chen Dina Kuo United States
Rasika R. Hudlikar United States
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Citations per year

Countries citing papers authored by Manne Munikumar

Since Specialization
Citations

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

Fields of papers citing papers by Manne Munikumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202059
2 202257
3 201346
4 202140
5 202140
6 201735
7 201128
8 201325
9 202218
10 201817
11 202117
12 202116
13 201314
14 201214
15 201513
16 201910
17 201810
18 201210
19 20249
20 20129

About Manne Munikumar

Manne Munikumar is a scholar working on Molecular Biology, Infectious Diseases, Computational Theory and Mathematics, Epidemiology and Small Animals, having authored 37 papers that have together received 538 indexed citations. Recurring topics across this work include vaccines and immunoinformatics approaches (7 papers), Computational Drug Discovery Methods (6 papers), Pneumonia and Respiratory Infections (4 papers), RNA and protein synthesis mechanisms (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), COVID-19 Clinical Research Studies (2 papers), Leptospirosis research and findings (2 papers) and Bacterial Infections and Vaccines (2 papers). The work is most often cited by research in Computational Theory and Mathematics (126 citations), Infectious Diseases (113 citations), Pharmacology (39 citations), Complementary and alternative medicine (34 citations) and Pathology and Forensic Medicine (56 citations). Manne Munikumar has collaborated with scholars based in India, United States and Vietnam. Frequent co-authors include Amineni Umamaheswari, Dibyabhaba Pradhan, Seshadri Reddy Varikasuvu, Hemalatha Rajkumar, Giridhar Goudar, Aparna R. Bitla, Paresh P. Kulkarni, Saurabh Varshney, Naveen Dutt and Pratima Gupta. Their work appears in journals such as Journal of Biomolecular Structure and Dynamics, Journal of Molecular Graphics and Modelling, Expert Review of Anti-infective Therapy, New Journal of Chemistry and Antioxidants.

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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