Sabita Basu

70 total papers · 779 total citations
49 papers, 515 citations indexed

About

Sabita Basu is a scholar working on Hematology, Physiology and Genetics. According to data from OpenAlex, Sabita Basu has authored 49 papers receiving a total of 515 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Hematology, 21 papers in Physiology and 13 papers in Genetics. Recurrent topics in Sabita Basu's work include Blood groups and transfusion (25 papers), Erythrocyte Function and Pathophysiology (19 papers) and Hemoglobinopathies and Related Disorders (12 papers). Sabita Basu is often cited by papers focused on Blood groups and transfusion (25 papers), Erythrocyte Function and Pathophysiology (19 papers) and Hemoglobinopathies and Related Disorders (12 papers). Sabita Basu collaborates with scholars based in India. Sabita Basu's co-authors include Ravneet Kaur, Gagandeep Kaur, Paramjit Kaur, Neelam Marwaha, Harsh Mohan, Annu Nanda, Veena R. Parmar, Srikanta Basu, Ravneet Kaur and Gagandeep Kaur and has published in prestigious journals such as SHILAP Revista de lepidopterología, British Journal of Haematology and Transfusion.

In The Last Decade

Sabita Basu

46 papers receiving 465 citations

Author Peers

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

Author Last Decade Papers Cites
Sabita Basu 272 127 119 114 95 49 515
Arwa Z. Al‐Riyami 178 0.7× 128 1.0× 117 1.0× 80 0.7× 30 0.3× 74 497
Rachid Djoudi 167 0.6× 98 0.8× 84 0.7× 66 0.6× 64 0.7× 32 454
Ulrik Sprogøe 249 0.9× 60 0.5× 77 0.6× 40 0.4× 44 0.5× 35 554
Douglas W. Huestis 236 0.9× 58 0.5× 55 0.5× 36 0.3× 54 0.6× 52 496
A. R. Bird 152 0.6× 79 0.6× 54 0.5× 46 0.4× 261 2.7× 41 588
Satyam Arora 146 0.5× 76 0.6× 91 0.8× 65 0.6× 90 0.9× 44 476
S. Seidl 214 0.8× 46 0.4× 150 1.3× 22 0.2× 67 0.7× 55 490
Sangeeta Pahuja 233 0.9× 116 0.9× 173 1.5× 173 1.5× 182 1.9× 40 513
Richa Gupta 175 0.6× 87 0.7× 129 1.1× 27 0.2× 67 0.7× 57 499
K. Mohandas 152 0.6× 39 0.3× 66 0.6× 40 0.4× 86 0.9× 26 606

Countries citing papers authored by Sabita Basu

Since Specialization
Citations

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

Fields of papers citing papers by Sabita Basu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sabita Basu

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