Sujit Suklabaidya

25 total papers · 477 total citations
16 papers, 354 citations indexed

About

Sujit Suklabaidya is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Sujit Suklabaidya has authored 16 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Immunology and 5 papers in Oncology. Recurrent topics in Sujit Suklabaidya's work include Nitric Oxide and Endothelin Effects (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Cancer Research and Treatments (2 papers). Sujit Suklabaidya is often cited by papers focused on Nitric Oxide and Endothelin Effects (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Cancer Research and Treatments (2 papers). Sujit Suklabaidya collaborates with scholars based in India, United States and Japan. Sujit Suklabaidya's co-authors include Shantibhusan Senapati, Biswajit Das, Sanjeeb Kumar Sahoo, Pujarini Dash, Prakash Kumar Sasmal, Sumeet Jain, Balaraman Ravindran, Pijus Barman, Bhupesh K. Prusty and Ratnadeep Mukherjee and has published in prestigious journals such as Nature Communications, Scientific Reports and The FASEB Journal.

In The Last Decade

Sujit Suklabaidya

16 papers receiving 351 citations

Author Peers

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

Author Last Decade Papers Cites
Sujit Suklabaidya 147 103 68 44 42 16 354
Meiqing Feng 114 0.8× 83 0.8× 83 1.2× 40 0.9× 43 1.0× 21 323
Xianbin Kong 136 0.9× 97 0.9× 65 1.0× 26 0.6× 28 0.7× 24 396
Donghwa Kim 184 1.3× 117 1.1× 55 0.8× 23 0.5× 42 1.0× 13 376
Lei Wang 151 1.0× 147 1.4× 43 0.6× 27 0.6× 32 0.8× 21 312
Jianyuan Tang 159 1.1× 39 0.4× 71 1.0× 30 0.7× 38 0.9× 24 309
Ali Anissian 150 1.0× 51 0.5× 72 1.1× 20 0.5× 47 1.1× 21 364
Mina Yazdi 144 1.0× 86 0.8× 42 0.6× 50 1.1× 56 1.3× 14 380
R.F. Hussain 142 1.0× 68 0.7× 81 1.2× 24 0.5× 30 0.7× 10 374
Jing Yang 178 1.2× 49 0.5× 90 1.3× 39 0.9× 69 1.6× 15 364
Jianhua Yu 175 1.2× 173 1.7× 79 1.2× 15 0.3× 52 1.2× 11 368

Countries citing papers authored by Sujit Suklabaidya

Since Specialization
Citations

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

Fields of papers citing papers by Sujit Suklabaidya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sujit Suklabaidya

This figure shows the co-authorship network connecting the top 25 collaborators of Sujit Suklabaidya. A scholar is included among the top collaborators of Sujit Suklabaidya 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 Sujit Suklabaidya. Sujit Suklabaidya 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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