Harekrushna Panda

858 citations
21 papers · 732 · h-index 13

Impact in

Papers in

    • MicroRNA in disease regulation 4
    • Protease and Inhibitor Mechanisms 2
    • Genetics, Aging, and Longevity in Model Organisms 3

Harekrushna Panda

21 papers receiving 727 citations

Peers

Harekrushna Panda
Comparison fields: 5 of 60
  • Cancer Research 196
  • Virology 63
  • Obstetrics and Gynecology 101
  • Aging 9
  • Public Health, Environmental and Occupational Health 108
Replace Michael A. Zschunke with:
Michael A. Zschunke United States
Kejun Li China
Sarah Meister Germany
Irene Dougas United States
Susanna Lintula Finland
U Hurtenbach Switzerland
Amu Therwath France
Mary M. Pater Canada
Madhuri V. Nishtala United States
Dominik Reinhold United States
Harekrushna Panda relative to Michael A. Zschunke United States Michael A. Zschunke's profile →
Citations per field
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Citations per year

Countries citing papers authored by Harekrushna Panda

Since Specialization
Citations

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

Fields of papers citing papers by Harekrushna Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201291
2 201691
3 201281
4 201281
5 201470
6 201269
7 200945
8 201837
9 201533
10 200932
11 202429
12 200616
13 200715
14 202013
15 20057
16 20137
17 20197
18 20043
19 20073
20 20101

About Harekrushna Panda

Harekrushna Panda is a scholar working on Cancer Research, Aging, Virology, Molecular Biology and Obstetrics and Gynecology, having authored 21 papers that have together received 732 indexed citations. Recurring topics across this work include DNA Repair Mechanisms (5 papers), Mosquito-borne diseases and control (4 papers), MicroRNA in disease regulation (4 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers), Protease and Inhibitor Mechanisms (2 papers), Alkaline Phosphatase Research Studies (2 papers), Biochemical and Molecular Research (2 papers) and Uterine Myomas and Treatments (2 papers). The work is most often cited by research in Cancer Research (196 citations), Virology (63 citations), Obstetrics and Gynecology (101 citations), Aging (9 citations) and Public Health, Environmental and Occupational Health (108 citations). Harekrushna Panda has collaborated with scholars based in United States, India and South Africa. Frequent co-authors include Xiaoping Luo, Tsai‐Der Chuang, Nasser Chegini, Satya Narayan, Aruna Shanker Jaiswal, Orhan Bükülmez, Shahid Jameel, Saif Ullah Munshi, Bharat Bhushan Rewari and Prasida Holla. Their work appears in journals such as Biogerontology, Journal of Virology, PLoS ONE, Gene Expression and International Journal of Infectious Diseases.

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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