Aruna Panda

26 papers receiving 1.2k citations

Peers

Aruna Panda
Comparison fields: 5 of 90
  • Transplantation 116
  • Animal Science and Zoology 430
  • Epidemiology 766
  • Endocrinology 111
  • Infectious Diseases 394
Replace Lance E. Perryman with:
Lance E. Perryman United States
Jerome S. Harms United States
Hanns-Joachim Rziha Germany
Astrid Gall United Kingdom
Ying Ma China
John B. March United Kingdom
Isabelle Vallée France
C.R. Wilks Australia
Masayuki Horie Japan
J. K. Rosenberger United States
Aruna Panda relative to Lance E. Perryman United States Lance E. Perryman's profile →
Citations per field
00.5×7.3×
Lance E. Perryman · 1×
Citations per year

Countries citing papers authored by Aruna Panda

Since Specialization
Citations

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

Fields of papers citing papers by Aruna Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003260
2 2003178
3 2004177
4 200175
5 200465
6 201163
7 200361
8
Effect of magnetic fields on tumor growth and viability.
201159
9 201351
10 201337
11 200935
12 200830
13 201730
14 201123
15
Escherichia coli O157:H7 infection in Dutch belted and New Zealand white rabbits.
201020
16 201416
17
A challenge model for Shigella dysenteriae 1 in cynomolgus monkeys (Macaca fascicularis).
201015
18 201511
19 20189
20 20148

About Aruna Panda

Aruna Panda is a scholar working on Epidemiology, Infectious Diseases, Animal Science and Zoology, Endocrinology and Molecular Biology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (9 papers), Virology and Viral Diseases (8 papers), Animal Virus Infections Studies (7 papers), Escherichia coli research studies (5 papers), Salmonella and Campylobacter epidemiology (4 papers), Organ and Tissue Transplantation Research (4 papers), Virus-based gene therapy research (3 papers) and Gut microbiota and health (3 papers). The work is most often cited by research in Transplantation (116 citations), Animal Science and Zoology (430 citations), Epidemiology (766 citations), Endocrinology (111 citations) and Infectious Diseases (394 citations). Aruna Panda has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Siba K. Samal, Zhuhui Huang, Subbiah Elankumaran, D. D. Rockemann, Sateesh Krishnamurthy, Dhanasekaran Govindarajan, Louis J. DeTolla, Steven T. Shipley, Zhaoyang Huang and Ivan Tatarov. Their work appears in journals such as Journal of Virology, Infection and Immunity, PLoS ONE, Poultry Science and Microbial Pathogenesis.

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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