Swati Garg

108 total papers · 1.6k total citations
47 papers, 782 citations indexed

About

Swati Garg is a scholar working on Oncology, Molecular Biology and Reproductive Medicine. According to data from OpenAlex, Swati Garg has authored 47 papers receiving a total of 782 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Oncology, 12 papers in Molecular Biology and 11 papers in Reproductive Medicine. Recurrent topics in Swati Garg's work include Ovarian cancer diagnosis and treatment (11 papers), Cancer Genomics and Diagnostics (7 papers) and PARP inhibition in cancer therapy (5 papers). Swati Garg is often cited by papers focused on Ovarian cancer diagnosis and treatment (11 papers), Cancer Genomics and Diagnostics (7 papers) and PARP inhibition in cancer therapy (5 papers). Swati Garg collaborates with scholars based in Canada, India and United States. Swati Garg's co-authors include Upasana Roy, Deepti Ramachandran, Sulabha Pathak, Ullas Kolthur‐Seetharam, Tracy Stockley, Amit M. Oza, James D. Kellner, Thomas J. Marrie, Alexander Wong and Gregory J. Tyrrell and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Swati Garg

46 papers receiving 774 citations

Author Peers

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

Author Last Decade Papers Cites
Swati Garg 287 234 196 140 125 47 782
M Kowalska 231 0.8× 446 1.9× 109 0.6× 94 0.7× 113 0.9× 56 886
Raluca Bălan 181 0.6× 132 0.6× 184 0.9× 86 0.6× 80 0.6× 56 677
G. G. Garzetti 147 0.5× 126 0.5× 122 0.6× 219 1.6× 97 0.8× 50 798
G Galazios 177 0.6× 133 0.6× 141 0.7× 198 1.4× 127 1.0× 58 854
Oksana Kowalczuk 214 0.7× 172 0.7× 136 0.7× 136 1.0× 131 1.0× 51 718
Anna Sieńko 162 0.6× 140 0.6× 65 0.3× 110 0.8× 82 0.7× 32 768
Tian Tian 228 0.8× 272 1.2× 97 0.5× 36 0.3× 68 0.5× 68 880
Iordanis Navrozoglou 98 0.3× 199 0.9× 115 0.6× 218 1.6× 143 1.1× 49 857
Tao Xia 187 0.7× 229 1.0× 80 0.4× 128 0.9× 108 0.9× 60 753
Xiaoli Zhao 266 0.9× 128 0.5× 116 0.6× 27 0.2× 95 0.8× 65 688

Countries citing papers authored by Swati Garg

Since Specialization
Citations

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

Fields of papers citing papers by Swati Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Swati Garg

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