Gaurav Malviya

84 total papers · 1.7k total citations
34 papers, 616 citations indexed

About

Gaurav Malviya is a scholar working on Radiology, Nuclear Medicine and Imaging, Oncology and Molecular Biology. According to data from OpenAlex, Gaurav Malviya has authored 34 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Oncology and 6 papers in Molecular Biology. Recurrent topics in Gaurav Malviya's work include Monoclonal and Polyclonal Antibodies Research (14 papers), Radiopharmaceutical Chemistry and Applications (13 papers) and Lymphoma Diagnosis and Treatment (4 papers). Gaurav Malviya is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (14 papers), Radiopharmaceutical Chemistry and Applications (13 papers) and Lymphoma Diagnosis and Treatment (4 papers). Gaurav Malviya collaborates with scholars based in Italy, Netherlands and United Kingdom. Gaurav Malviya's co-authors include Alberto Signore, R. A. Dierckx, Giulia Piaggio, S. J. Mather, Shashank Pandey, M Dvořáková, Francesco Scopinaro, Filippo Galli, Sally L. Pimlott and Rudi Dierckx and has published in prestigious journals such as Chemical Reviews, SHILAP Revista de lepidopterología and Clinical Cancer Research.

In The Last Decade

Gaurav Malviya

32 papers receiving 609 citations

Author Peers

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

Author Last Decade Papers Cites
Gaurav Malviya 183 170 160 107 82 34 616
Anu Autio 281 1.5× 141 0.8× 189 1.2× 176 1.6× 59 0.7× 26 625
Alessia Bertolotti 91 0.5× 146 0.9× 175 1.1× 72 0.7× 121 1.5× 38 503
Patrick B. Lappin 127 0.7× 174 1.0× 291 1.8× 136 1.3× 61 0.7× 26 672
Vasilios Liapis 86 0.5× 261 1.5× 301 1.9× 137 1.3× 28 0.3× 29 661
Bradley N. Mills 146 0.8× 140 0.8× 231 1.4× 95 0.9× 65 0.8× 24 662
Christiane Geyer 78 0.4× 119 0.7× 231 1.4× 124 1.2× 56 0.7× 32 685
C. Ostheimer 154 0.8× 154 0.9× 212 1.3× 47 0.4× 79 1.0× 27 627
Lode Goethals 134 0.7× 209 1.2× 257 1.6× 220 2.1× 82 1.0× 31 686
E. K. J. Pauwels 169 0.9× 103 0.6× 239 1.5× 88 0.8× 89 1.1× 40 673
Janine Gote-Schniering 110 0.6× 83 0.5× 320 2.0× 97 0.9× 52 0.6× 26 670

Countries citing papers authored by Gaurav Malviya

Since Specialization
Citations

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

Fields of papers citing papers by Gaurav Malviya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Malviya

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