Noopur Raje

44.1k citations
497 papers · 20.3k indexed · 6 hit papers · h-index 74
Topics
Multiple Myeloma Research and Treatments (365 papers)Protein Degradation and Inhibitors (114 papers)Peptidase Inhibition and Analysis (81 papers)
Partner nations
United StatesFranceSpain

In The Last Decade

Noopur Raje

480 papers receiving 19.9k citations

Hit Papers

Multiple myeloma20002026200820172000200120002012201850010001.5k

Peers

Noopur Raje
Comparison fields: 5 of 148
  • Molecular Biology 12.0k
  • Hematology 11.2k
  • Oncology 10.1k
  • Immunology 2.8k
  • Pathology and Forensic Medicine 1.8k
Replace Robert Z. Orlowski with:
Robert Z. Orlowski United States
Mario Boccadoro Italy
Teru Hideshima United States
Constantine S. Mitsiades United States
David S. Siegel United States
Dharminder Chauhan United States
Marina Konopleva United States
Irene M. Ghobrial United States
Alan F. List United States
Tomoki Naoe Japan
Noopur Raje relative to Robert Z. Orlowski United States Robert Z. Orlowski's profile →
Citations per field
00.5×1.5×1.8×
Robert Z. Orlowski · 1×
Citations per year

Countries citing papers authored by Noopur Raje

Since Specialization
Citations

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

Fields of papers citing papers by Noopur Raje

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noopur Raje

This figure shows the co-authorship network connecting the top 25 collaborators of Noopur Raje. A scholar is included among the top collaborators of Noopur Raje 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 Noopur Raje. Noopur Raje 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 0
2 1
3 2
4 1
5 0
6 1
7 1
8 2
9
Monitoring, prophylaxis, and treatment of infections in patients with MM receiving bispecific antibody therapy: consensus recommendations from an expert panelbreakdown →
77
10 76
11 2
12 2
13 39
14 82
15 22
16 123
17 24
18 136
19 53
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About Noopur Raje

Noopur Raje is a scholar working on Hematology, Oncology and Genetics, having authored 497 papers that have together received 20.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (365 papers), Protein Degradation and Inhibitors (114 papers) and Peptidase Inhibition and Analysis (81 papers). The work is most often cited by research in Hematology (11.2k citations), Oncology (10.1k citations) and Molecular Biology (12.0k citations). Noopur Raje has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Kenneth C. Anderson, Teru Hideshima, Paul G. Richardson, Dharminder Chauhan, Nikhil C. Munshi, Klaus Podar, Yu‐Tzu Tai, Sonia Vallet, Steven P. Treon and Constantine S. Mitsiades. Their work appears in journals such as New England Journal of Medicine, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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