Gopal Kumar Patidar

65 total papers · 672 total citations
32 papers, 194 citations indexed

About

Gopal Kumar Patidar is a scholar working on Management of Technology and Innovation, Biochemistry and Hematology. According to data from OpenAlex, Gopal Kumar Patidar has authored 32 papers receiving a total of 194 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Management of Technology and Innovation, 12 papers in Biochemistry and 10 papers in Hematology. Recurrent topics in Gopal Kumar Patidar's work include Blood donation and transfusion practices (16 papers), Blood transfusion and management (12 papers) and Hemoglobinopathies and Related Disorders (7 papers). Gopal Kumar Patidar is often cited by papers focused on Blood donation and transfusion practices (16 papers), Blood transfusion and management (12 papers) and Hemoglobinopathies and Related Disorders (7 papers). Gopal Kumar Patidar collaborates with scholars based in India, United States and Canada. Gopal Kumar Patidar's co-authors include Neelam Marwaha, Ratti Ram Sharma, Satyam Arora, Meenu Bajpai, Sunil Arora, Suchet Sachdev, Yogesh Chawla, Cynthia So‐Osman, Ajay Duseja and Naomi Rahimi‐Levene and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Clinical Immunology and Vox Sanguinis.

In The Last Decade

Gopal Kumar Patidar

22 papers receiving 187 citations

Author Peers

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

Author Last Decade Papers Cites
Gopal Kumar Patidar 89 49 43 41 34 32 194
Tomislav Vuk 71 0.8× 72 1.5× 59 1.4× 27 0.7× 27 0.8× 45 226
Richard R. Gammon 104 1.2× 69 1.4× 107 2.5× 30 0.7× 22 0.6× 45 279
Geet Aggarwal 28 0.3× 73 1.5× 30 0.7× 18 0.4× 41 1.2× 55 190
Ankit Mathur 55 0.6× 34 0.7× 28 0.7× 11 0.3× 100 2.9× 43 270
Manish Raturi 94 1.1× 34 0.7× 28 0.7× 78 1.9× 8 0.2× 53 203
Bridon M’baya 55 0.6× 48 1.0× 24 0.6× 19 0.5× 42 1.2× 24 175
Rekha Hans 42 0.5× 48 1.0× 7 0.2× 31 0.8× 60 1.8× 35 216
Anuradha Kusum 73 0.8× 25 0.5× 34 0.8× 52 1.3× 22 0.6× 39 248
Maha A. Badawi 51 0.6× 109 2.2× 19 0.4× 43 1.0× 12 0.4× 38 213
Robert A. DeSimone 38 0.4× 59 1.2× 50 1.2× 41 1.0× 21 0.6× 41 248

Countries citing papers authored by Gopal Kumar Patidar

Since Specialization
Citations

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

Fields of papers citing papers by Gopal Kumar Patidar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gopal Kumar Patidar. 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 Gopal Kumar Patidar. The network helps show where Gopal Kumar Patidar may publish in the future.

Co-authorship network of co-authors of Gopal Kumar Patidar

This figure shows the co-authorship network connecting the top 25 collaborators of Gopal Kumar Patidar. A scholar is included among the top collaborators of Gopal Kumar Patidar 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 Gopal Kumar Patidar. Gopal Kumar Patidar 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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