Madhusmita Panda

19 total papers · 618 total citations
12 papers, 440 citations indexed

About

Madhusmita Panda is a scholar working on Surgery, Periodontics and Otorhinolaryngology. According to data from OpenAlex, Madhusmita Panda has authored 12 papers receiving a total of 440 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 3 papers in Periodontics and 2 papers in Otorhinolaryngology. Recurrent topics in Madhusmita Panda's work include Oral microbiology and periodontitis research (3 papers), Head and Neck Cancer Studies (2 papers) and Oral health in cancer treatment (2 papers). Madhusmita Panda is often cited by papers focused on Oral microbiology and periodontitis research (3 papers), Head and Neck Cancer Studies (2 papers) and Oral health in cancer treatment (2 papers). Madhusmita Panda collaborates with scholars based in India and United States. Madhusmita Panda's co-authors include Indranil Chattopadhyay, Mukesh Verma, Avdhesh Kumar, Ashok Kumar Das, Anupam Sarma, Amal Kataki, Tashnin Rahman, Kishore Das, O. Annalakshmi and C. V. Srinivas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Archives of Microbiology and Journal of Luminescence.

In The Last Decade

Madhusmita Panda

7 papers receiving 433 citations

Hit Papers

Role of Oral Microbiome S... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Madhusmita Panda 257 152 100 90 86 12 440
Akram Thabet Nasher 216 0.8× 134 0.9× 78 0.8× 73 0.8× 54 0.6× 7 378
Manosha Lakmali Perera 251 1.0× 150 1.0× 95 0.9× 95 1.1× 48 0.6× 9 419
Herminio González 124 0.5× 107 0.7× 69 0.7× 194 2.2× 39 0.5× 8 398
Hema Sridhar 172 0.7× 49 0.3× 197 2.0× 40 0.4× 35 0.4× 12 437
Ngozi N. Nwizu 268 1.0× 63 0.4× 73 0.7× 45 0.5× 21 0.2× 11 400
Michihiro Narikiyo 120 0.5× 163 1.1× 23 0.2× 97 1.1× 18 0.2× 18 427
Duangporn Kerdpon 174 0.7× 53 0.3× 158 1.6× 53 0.6× 15 0.2× 15 465
Maria Mali 171 0.7× 138 0.9× 26 0.3× 16 0.2× 114 1.3× 8 408
Cristopher Soto 169 0.7× 99 0.7× 10 0.1× 37 0.4× 38 0.4× 11 397
Ruinuo Jia 105 0.4× 205 1.3× 15 0.1× 63 0.7× 11 0.1× 16 452

Countries citing papers authored by Madhusmita Panda

Since Specialization
Citations

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

Fields of papers citing papers by Madhusmita Panda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Madhusmita Panda

This figure shows the co-authorship network connecting the top 25 collaborators of Madhusmita Panda. A scholar is included among the top collaborators of Madhusmita Panda based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Madhusmita Panda. Madhusmita Panda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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