Nina Shah

12.5k citations
260 papers · 4.1k indexed · 1 hit paper · h-index 35
Topics
Multiple Myeloma Research and Treatments (139 papers)CAR-T cell therapy research (70 papers)Protein Degradation and Inhibitors (38 papers)
Journals
Nature CommunicationsJournal of Clinical OncologySHILAP Revista de lepidopterología

In The Last Decade

Nina Shah

252 papers receiving 4.0k citations

Hit Papers

B-cell maturation antigen (BCMA) in multiple myeloma: rat...20202026202220242020100200300

Peers

Nina Shah
Comparison fields: 5 of 117
  • Oncology 2.5k
  • Hematology 2.1k
  • Molecular Biology 1.7k
  • Immunology 919
  • Radiology, Nuclear Medicine and Imaging 455
Replace Francesca Gay with:
Francesca Gay Italy
Elizabeth A. Raetz United States
Patrizia Tosi Italy
Catherine Wheeler United States
Kazuyuki Shimizu Japan
Samuel H. Zwillich United States
Sun‐Young Kong South Korea
Michaela Liedtke United States
Bhagirathbhai Dholaria United States
Marco Danova Italy
Nina Shah relative to Francesca Gay Italy Francesca Gay's profile →
Citations per field
00.5×2.6×
Francesca Gay · 1×
Citations per year

Countries citing papers authored by Nina Shah

Since Specialization
Citations

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

Fields of papers citing papers by Nina Shah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Shah

This figure shows the co-authorship network connecting the top 25 collaborators of Nina Shah. A scholar is included among the top collaborators of Nina 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 Nina Shah. Nina Shah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 19
2 0
3 15
4 4
5 26
6 84
7 79
8 17
9 66
10 10
11 27
12 37
13 16
14 10
15 30
16 43
17 66
18 23
19 110
20
Late complications of mantle radiotherapy for Hodgkin's lymphoma
1

About Nina Shah

Nina Shah is a scholar working on Hematology, Oncology and Genetics, having authored 260 papers that have together received 4.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (139 papers), CAR-T cell therapy research (70 papers) and Protein Degradation and Inhibitors (38 papers). The work is most often cited by research in Hematology (2.1k citations), Oncology (2.5k citations) and Immunology (919 citations). Nina Shah has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Saad Z. Usmani, Ajai Chari, Emma Scott, Khalid Mezzi, Muzaffar H. Qazilbash, Simrit Parmar, Uday Popat, Robert Z. Orlowski, Chitra Hosing and Richard E. Champlin. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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