Mukta Panda

61 papers receiving 1.0k citations

Peers

Mukta Panda
Comparison fields: 5 of 119
  • Anesthesiology and Pain Medicine 163
  • Gender Studies 169
  • Public Health, Environmental and Occupational Health 428
  • General Health Professions 344
  • Family Practice 27
Replace Kirsten Auret with:
Kirsten Auret Australia
Joseph M. Merrill United States
Ellie Grossman United States
Jessica S. Merlin United States
David C. Seaberg United States
Craig Weinert United States
Michael H. Andreae United States
Nancy Redfern United Kingdom
Reuben Ogollah United Kingdom
Marcela Almeida United States
Mukta Panda relative to Kirsten Auret Australia Kirsten Auret's profile →
Citations per field
00.5×3.1×
Kirsten Auret · 1×
Citations per year

Countries citing papers authored by Mukta Panda

Since Specialization
Citations

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

Fields of papers citing papers by Mukta Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20196
2 20193
3 20157
4 201314
5 20123
6 20122
7 20112
8 20115
9 20096
10 2008104
11 20086
12 20081
13 20086
14 20082
15 20077
16 200710
17 200614
18 20066
19 20055
20 200410

About Mukta Panda

Mukta Panda is a scholar working on Anesthesiology and Pain Medicine, Family Practice, Public Health, Environmental and Occupational Health, General Health Professions and Nephrology, having authored 62 papers that have together received 1.1k indexed citations. Recurring topics across this work include Innovations in Medical Education (14 papers), Healthcare professionals’ stress and burnout (8 papers), Pain Management and Opioid Use (7 papers), Musculoskeletal pain and rehabilitation (6 papers), Gastrointestinal disorders and treatments (3 papers), Patient Satisfaction in Healthcare (3 papers), Diversity and Career in Medicine (3 papers) and Radiology practices and education (3 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (163 citations), Gender Studies (169 citations), Public Health, Environmental and Occupational Health (428 citations), General Health Professions (344 citations) and Family Practice (27 citations). Mukta Panda has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Rehan Qayyum, Inginia Genao, Ian Chen, Sam Cykert, Vicky Ren, Jonathan Miller, Jane O’Rorke, Lisa J. Staton, Alex J. Mechaber and Mark Pasanen. Their work appears in journals such as Journal of General Internal Medicine, Academic Medicine, The American Journal of the Medical Sciences, Journal of Religion and Health and Mayo Clinic Proceedings.

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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