Sanjeet Dadwal

174 total papers · 3.8k total citations
90 papers, 1.3k citations indexed

About

Sanjeet Dadwal is a scholar working on Epidemiology, Oncology and Infectious Diseases. According to data from OpenAlex, Sanjeet Dadwal has authored 90 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Epidemiology, 33 papers in Oncology and 32 papers in Infectious Diseases. Recurrent topics in Sanjeet Dadwal's work include Cytomegalovirus and herpesvirus research (30 papers), Antifungal resistance and susceptibility (19 papers) and Hematopoietic Stem Cell Transplantation (17 papers). Sanjeet Dadwal is often cited by papers focused on Cytomegalovirus and herpesvirus research (30 papers), Antifungal resistance and susceptibility (19 papers) and Hematopoietic Stem Cell Transplantation (17 papers). Sanjeet Dadwal collaborates with scholars based in United States, Canada and Australia. Sanjeet Dadwal's co-authors include James I. Ito, Ryotaro Nakamura, Dimitrios P. Kontoyiannis, Genovefa A. Papanicolaou, Bernard Tegtmeier, Michael Boeckh, Stephen J. Forman, Susan K. Seo, Roy F. Chemaly and Sherif B. Mossad and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Sanjeet Dadwal

78 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Sanjeet Dadwal 715 542 340 251 120 90 1.3k
Victor E. Mulanovich 574 0.8× 541 1.0× 515 1.5× 120 0.5× 95 0.8× 76 1.4k
Petr Hubáček 689 1.0× 373 0.7× 323 0.9× 133 0.5× 143 1.2× 55 1.1k
Estela Giménez 842 1.2× 515 1.0× 294 0.9× 181 0.7× 207 1.7× 117 1.4k
Jérôme LeGoff 1.1k 1.6× 647 1.2× 296 0.9× 84 0.3× 171 1.4× 98 1.7k
Sabine Mousset 637 0.9× 532 1.0× 322 0.9× 122 0.5× 109 0.9× 39 1.3k
Gerda Silling 919 1.3× 901 1.7× 583 1.7× 393 1.6× 173 1.4× 50 1.8k
A. Ehrnst 794 1.1× 584 1.1× 207 0.6× 102 0.4× 209 1.7× 46 1.4k
Gabriele Kropshofer 490 0.7× 599 1.1× 165 0.5× 199 0.8× 86 0.7× 61 1.2k
David H. Shepp 1.4k 2.0× 408 0.8× 371 1.1× 199 0.8× 220 1.8× 39 1.8k
Yukio Asano 1.1k 1.5× 329 0.6× 513 1.5× 86 0.3× 119 1.0× 112 1.7k

Countries citing papers authored by Sanjeet Dadwal

Since Specialization
Citations

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

Fields of papers citing papers by Sanjeet Dadwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sanjeet Dadwal

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