Urvi A. Shah

374 total papers · 4.1k total citations
94 papers, 1.5k citations indexed

About

Urvi A. Shah is a scholar working on Hematology, Oncology and Molecular Biology. According to data from OpenAlex, Urvi A. Shah has authored 94 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Hematology, 25 papers in Oncology and 19 papers in Molecular Biology. Recurrent topics in Urvi A. Shah's work include Multiple Myeloma Research and Treatments (35 papers), Protein Degradation and Inhibitors (9 papers) and CAR-T cell therapy research (7 papers). Urvi A. Shah is often cited by papers focused on Multiple Myeloma Research and Treatments (35 papers), Protein Degradation and Inhibitors (9 papers) and CAR-T cell therapy research (7 papers). Urvi A. Shah collaborates with scholars based in United States, India and United Kingdom. Urvi A. Shah's co-authors include Sham Mailankody, Wendy Atkin, Kate Wooldrage, Ines Kralj‐Hans, Stephen W. Duffy, Amanda J. Cross, Murali Janakiram, Xingxing Zang, Mark Schoenberg and Weifeng Liu and has published in prestigious journals such as The Lancet, JAMA and Circulation.

In The Last Decade

Urvi A. Shah

80 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Urvi A. Shah 778 347 288 287 231 94 1.5k
Christoph Kahl 1.1k 1.4× 474 1.4× 206 0.7× 252 0.9× 196 0.8× 95 1.9k
Stefan Klein 543 0.7× 329 0.9× 293 1.0× 276 1.0× 187 0.8× 118 2.1k
Rasim Gucalp 1.1k 1.4× 622 1.8× 193 0.7× 264 0.9× 135 0.6× 87 1.7k
Koichiro Yuji 634 0.8× 238 0.7× 729 2.5× 222 0.8× 163 0.7× 76 1.8k
Hwan‐Jung Yun 510 0.7× 242 0.7× 184 0.6× 314 1.1× 234 1.0× 107 1.4k
Daniel E. Lehane 596 0.8× 277 0.8× 445 1.5× 195 0.7× 183 0.8× 51 1.6k
John C. Marsh 527 0.7× 233 0.7× 284 1.0× 646 2.3× 138 0.6× 65 2.1k
Jaroslav Štěrba 460 0.6× 251 0.7× 154 0.5× 587 2.0× 134 0.6× 146 1.7k
Kimo C. Stine 313 0.4× 331 1.0× 420 1.5× 320 1.1× 244 1.1× 59 1.4k
Olav J. Bergmann 350 0.4× 362 1.0× 180 0.6× 162 0.6× 110 0.5× 50 1.3k

Countries citing papers authored by Urvi A. Shah

Since Specialization
Citations

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

Fields of papers citing papers by Urvi A. Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Urvi A. Shah. 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 Urvi A. Shah. The network helps show where Urvi A. Shah may publish in the future.

Co-authorship network of co-authors of Urvi A. Shah

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