Munmun Panda

551 citations
15 papers · 414 · h-index 10

Impact in

  • Toxicology top 2%
    • Bioactive Compounds and Antitumor Agents
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Cancer therapeutics and mechanisms 2
    • Extracellular vesicles in disease 2
    • Synthesis and Biological Evaluation 4
    • Quinazolinone synthesis and applications 3
    • Synthesis and biological activity 2

Munmun Panda

15 papers receiving 411 citations

Peers

Munmun Panda
Comparison fields: 5 of 73
  • Toxicology 109
  • Cancer Research 81
  • Molecular Biology 252
  • Organic Chemistry 93
  • Oncology 68
Replace Rakesh Sathish Nair with:
Rakesh Sathish Nair United States
Rohini Gomathinayagam United States
Weitian Wei China
Wenda Zhang China
V. Vigneshwaran India
Ji-Hyung Choi South Korea
Prabodh K. Kandala United States
Xian‐Ji Piao China
Lingyuan Xu China
B.R. Vijay Avin India
Munmun Panda relative to Rakesh Sathish Nair United States Rakesh Sathish Nair's profile →
Citations per field
00.5×1.5×1.9×
Rakesh Sathish Nair · 1×
Citations per year

Countries citing papers authored by Munmun Panda

Since Specialization
Citations

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

Fields of papers citing papers by Munmun Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Munmun 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 Munmun Panda Line = papers co-authored together Munmun Panda links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2019103
2 202171
3 201969
4 202239
5 202022
6 201921
7 202018
8 202215
9 202313
10 202210
11 20249
12 20229
13 20247
14 20244
15 20204

About Munmun Panda

Munmun Panda is a scholar working on Molecular Biology, Organic Chemistry, Toxicology, Cancer Research and Genetics, having authored 15 papers that have together received 414 indexed citations. Recurring topics across this work include Synthesis and Biological Evaluation (4 papers), Bioactive Compounds and Antitumor Agents (4 papers), MicroRNA in disease regulation (3 papers), Quinazolinone synthesis and applications (3 papers), Cancer therapeutics and mechanisms (2 papers), Synthesis and biological activity (2 papers), Extracellular vesicles in disease (2 papers) and Magnetism in coordination complexes (1 paper). The work is most often cited by research in Toxicology (109 citations), Cancer Research (81 citations), Molecular Biology (252 citations), Organic Chemistry (93 citations) and Oncology (68 citations). Munmun Panda has collaborated with scholars based in India, Türkiye and United States. Frequent co-authors include Bijesh Kumar Biswal, Surya Kant Tripathi, Gökhan Zengin, Kamal Pandey, Michael J. Spinella, Kannan R. R. Rengasamy, Usharani Subuddhi, Kasturi Singh, Sivakumar Vaidyanathan and Santosh Mathapati. Their work appears in journals such as Molecular Biology Reports, Journal of Cellular Biochemistry, Food and Chemical Toxicology, Journal of Materials Chemistry C and Cell Biology and Toxicology.

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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