Bidisha Paul

1.0k total citations
10 papers, 551 citations indexed

About

Bidisha Paul is a scholar working on Molecular Biology, Physiology and Periodontics. According to data from OpenAlex, Bidisha Paul has authored 10 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Physiology and 4 papers in Periodontics. Recurrent topics in Bidisha Paul's work include Oral microbiology and periodontitis research (4 papers), Salivary Gland Disorders and Functions (4 papers) and Gut microbiota and health (3 papers). Bidisha Paul is often cited by papers focused on Oral microbiology and periodontitis research (4 papers), Salivary Gland Disorders and Functions (4 papers) and Gut microbiota and health (3 papers). Bidisha Paul collaborates with scholars based in United States and Germany. Bidisha Paul's co-authors include Trygve O. Tollefsbol, Christine F. Skibola, Casey D. Morrow, Stephen Barnes, Carolina Salvador, Yuanyuan Li, Wendy Demark‐Wahnefried, Kendra J. Royston, Susan E. Nozell and Rajani Rajbhandari and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Bidisha Paul

10 papers receiving 543 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Bidisha Paul United States 8 393 101 58 55 46 10 551
Khuong Le Canada 13 284 0.7× 192 1.9× 43 0.7× 52 0.9× 57 1.2× 30 690
Xiaoqin Xiong China 7 385 1.0× 96 1.0× 36 0.6× 85 1.5× 82 1.8× 9 512
Xiaoyu Xu China 8 357 0.9× 130 1.3× 47 0.8× 19 0.3× 38 0.8× 16 570
Céline Garret France 10 421 1.1× 199 2.0× 44 0.8× 19 0.3× 74 1.6× 15 648
Xin Dai China 12 354 0.9× 150 1.5× 26 0.4× 39 0.7× 83 1.8× 15 551
Ling‐Chang Tong China 7 261 0.7× 68 0.7× 76 1.3× 17 0.3× 35 0.8× 8 484
Darcy Holley United States 13 495 1.3× 115 1.1× 55 0.9× 79 1.4× 126 2.7× 16 658
Benjamin C. Creekmore United States 10 485 1.2× 106 1.0× 31 0.5× 6 0.1× 93 2.0× 14 640
Huizhen Li China 14 303 0.8× 87 0.9× 38 0.7× 77 1.4× 14 0.3× 49 641
Danfeng Li China 17 286 0.7× 26 0.3× 22 0.4× 76 1.4× 44 1.0× 41 643

Countries citing papers authored by Bidisha Paul

Since Specialization
Citations

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

Fields of papers citing papers by Bidisha Paul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bidisha Paul

This figure shows the co-authorship network connecting the top 25 collaborators of Bidisha Paul. A scholar is included among the top collaborators of Bidisha Paul 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 Bidisha Paul. Bidisha Paul is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
2.
Guo, Yuqi, Fangxi Xu, Scott C. Thomas, et al.. (2022). Targeting the succinate receptor effectively inhibits periodontitis. Cell Reports. 40(12). 111389–111389. 24 indexed citations
3.
Paul, Bidisha, Maria A. Sierra, Fangxi Xu, et al.. (2021). Microbial population shift and metabolic characterization of silver diamine fluoride treatment failure on dental caries. PLoS ONE. 16(3). e0242396–e0242396. 9 indexed citations
4.
Ruff, Ryan Richard, Bidisha Paul, Maria A. Sierra, et al.. (2021). Predicting Treatment Nonresponse in Hispanic/Latino Children Receiving Silver Diamine Fluoride for Caries Arrest: A Pilot Study Using Machine Learning. SHILAP Revista de lepidopterología. 2. 695759–695759. 3 indexed citations
5.
Sierra, Maria A., Qianhao Li, Smruti Pushalkar, et al.. (2020). The Influences of Bioinformatics Tools and Reference Databases in Analyzing the Human Oral Microbial Community. Genes. 11(8). 878–878. 33 indexed citations
6.
Yang, Jian, Yuqi Guo, Ruohan Zhang, et al.. (2019). Targeting cellular metabolism to reduce head and neck cancer growth. Scientific Reports. 9(1). 4995–4995. 44 indexed citations
7.
Royston, Kendra J., Bidisha Paul, Susan E. Nozell, Rajani Rajbhandari, & Trygve O. Tollefsbol. (2018). Withaferin A and sulforaphane regulate breast cancer cell cycle progression through epigenetic mechanisms. Experimental Cell Research. 368(1). 67–74. 80 indexed citations
8.
Paul, Bidisha, Yuanyuan Li, & Trygve O. Tollefsbol. (2018). The Effects of Combinatorial Genistein and Sulforaphane in Breast Tumor Inhibition: Role in Epigenetic Regulation. International Journal of Molecular Sciences. 19(6). 1754–1754. 77 indexed citations
9.
Paul, Bidisha, Kendra J. Royston, Yuanyuan Li, et al.. (2017). Impact of genistein on the gut microbiome of humanized mice and its role in breast tumor inhibition. PLoS ONE. 12(12). e0189756–e0189756. 59 indexed citations
10.
Paul, Bidisha, Stephen Barnes, Wendy Demark‐Wahnefried, et al.. (2015). Influences of diet and the gut microbiome on epigenetic modulation in cancer and other diseases. Clinical Epigenetics. 7(1). 112–112. 221 indexed citations

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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