Himankar Baishya

9 total papers · 486 total citations
4 papers, 417 citations indexed

About

Himankar Baishya is a scholar working on Analytical Chemistry, Pharmaceutical Science and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Himankar Baishya has authored 4 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Analytical Chemistry, 2 papers in Pharmaceutical Science and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Himankar Baishya's work include Analytical Methods in Pharmaceuticals (3 papers), Drug Solubulity and Delivery Systems (2 papers) and Hepatitis B Virus Studies (1 paper). Himankar Baishya is often cited by papers focused on Analytical Methods in Pharmaceuticals (3 papers), Drug Solubulity and Delivery Systems (2 papers) and Hepatitis B Virus Studies (1 paper). Himankar Baishya collaborates with scholars based in . Himankar Baishya's co-authors include Zibin Zhang and has published in prestigious journals such as World Journal of Pharmacy and Pharmaceutical Sciences.

In The Last Decade

Himankar Baishya

4 papers receiving 409 citations

Hit Papers

Application of Mathematic... 2017 2026 2020 2023 2017 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Himankar Baishya 171 156 95 63 48 4 417
Sandeep Karki 122 0.7× 212 1.4× 69 0.7× 38 0.6× 37 0.8× 5 459
Bharathi Karunakaran 176 1.0× 147 0.9× 94 1.0× 44 0.7× 115 2.4× 7 448
Raghav Gupta 181 1.1× 108 0.7× 85 0.9× 46 0.7× 102 2.1× 5 411
Xuqian Lang 199 1.2× 113 0.7× 60 0.6× 88 1.4× 51 1.1× 8 393
V. Sreeja 275 1.6× 109 0.7× 81 0.9× 55 0.9× 59 1.2× 4 435
K. Jahangir 186 1.1× 75 0.5× 77 0.8× 46 0.7× 39 0.8× 6 453
Fabiola V. Borbolla‐Jiménez 137 0.8× 75 0.5× 77 0.8× 37 0.6× 59 1.2× 10 377
C. Volland 261 1.5× 166 1.1× 107 1.1× 56 0.9× 77 1.6× 9 443
Unnati Garg 207 1.2× 151 1.0× 99 1.0× 32 0.5× 110 2.3× 10 458
R. Jeyanthi 197 1.2× 245 1.6× 119 1.3× 136 2.2× 66 1.4× 11 495

Countries citing papers authored by Himankar Baishya

Since Specialization
Citations

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

Fields of papers citing papers by Himankar Baishya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Himankar Baishya

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