Shona Nag

53 total papers · 2.4k total citations
34 papers, 1.0k citations indexed

About

Shona Nag is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shona Nag has authored 34 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Oncology, 11 papers in Cancer Research and 7 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shona Nag's work include HER2/EGFR in Cancer Research (10 papers), Breast Cancer Treatment Studies (7 papers) and Cancer Treatment and Pharmacology (6 papers). Shona Nag is often cited by papers focused on HER2/EGFR in Cancer Research (10 papers), Breast Cancer Treatment Studies (7 papers) and Cancer Treatment and Pharmacology (6 papers). Shona Nag collaborates with scholars based in India, United States and Singapore. Shona Nag's co-authors include Jagdev Singh Sekhon, A Płużańska, Sudeep Gupta, Kathy S. Albain, Antonio Llombart‐Cussac, Allen S. Melemed, Janusz Rolski, G. Calderillo-Ruiz, Shyam Aggarwal and Joyce O’Shaughnessy and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Shona Nag

30 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Shona Nag 718 228 228 215 122 34 1.0k
Davide Lombardi 607 0.8× 209 0.9× 306 1.3× 210 1.0× 65 0.5× 57 995
Claudia Andreetta 512 0.7× 160 0.7× 204 0.9× 293 1.4× 80 0.7× 41 821
Alberto Farolfi 608 0.8× 250 1.1× 320 1.4× 206 1.0× 79 0.6× 61 1.0k
Reena Philip 578 0.8× 400 1.8× 295 1.3× 287 1.3× 81 0.7× 23 1.1k
Gian Luigi Cetto 666 0.9× 290 1.3× 183 0.8× 369 1.7× 72 0.6× 59 1.1k
Vincenzo Sforza 677 0.9× 377 1.7× 357 1.6× 193 0.9× 62 0.5× 58 1.1k
Ernesto Wasserman 810 1.1× 417 1.8× 357 1.6× 377 1.8× 132 1.1× 35 1.2k
Lucien Perey 442 0.6× 321 1.4× 157 0.7× 116 0.5× 89 0.7× 43 876
Federica Martorana 372 0.5× 318 1.4× 249 1.1× 223 1.0× 70 0.6× 55 851
Laster Wr 576 0.8× 435 1.9× 243 1.1× 125 0.6× 67 0.5× 28 1.2k

Countries citing papers authored by Shona Nag

Since Specialization
Citations

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

Fields of papers citing papers by Shona Nag

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shona Nag

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