Neha Korde

6.2k citations
175 papers · 4.3k · 1 hit paper · h-index 36

Impact in

  • Hematology top 0.2%
    • Multiple Myeloma Research and Treatments
  • Oncology top 2%
    • CAR-T cell therapy research
    • Peptidase Inhibition and Analysis

Papers in

    • Multiple Myeloma Research and Treatments 142
    • Chronic Lymphocytic Leukemia Research 17
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 12

Neha Korde

169 papers receiving 4.3k citations

Neha Korde's Hit Papers

GPRC5D-Targeted CAR T Cells for Myeloma 2022 · 326 citations
3260+1+2Years since publication100200300

Peers

Neha Korde
Comparison fields: 5 of 117
  • Hematology 2.8k
  • Oncology 1.6k
  • Genetics 492
  • Molecular Biology 1.9k
  • Immunology 538
Replace Jeffrey Lee Wolf with:
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Neha Korde relative to Jeffrey Lee Wolf United States Jeffrey Lee Wolf's profile →
Citations per field
00.5×1.5×2.1×
Jeffrey Lee Wolf · 1×
Citations per year

Countries citing papers authored by Neha Korde

Since Specialization
Citations

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

Fields of papers citing papers by Neha Korde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Neha Korde, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Neha Korde Line = papers co-authored together Neha Korde links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 175 papers — load more, or switch the sort, to bring in the rest.

#Work
1
GPRC5D-Targeted CAR T Cells for Myeloma
Hit paper breakdown →
2022326
2 2015264
3 2011161
4 2011156
5 2014148
6 2016144
7 2014113
8 2012105
9 2001100
10 2007100
11 201598
12 201594
13 201789
14 202189
15 201383
16 201579
17 202176
18 201370
19 201969
20 202264

About Neha Korde

Neha Korde is a scholar working on Hematology, Genetics, Oncology, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 175 papers that have together received 4.3k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (142 papers), Protein Degradation and Inhibitors (47 papers), Peptidase Inhibition and Analysis (21 papers), Chronic Lymphocytic Leukemia Research (17 papers), Cancer Treatment and Pharmacology (14 papers), CAR-T cell therapy research (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers) and Monoclonal and Polyclonal Antibodies Research (12 papers). The work is most often cited by research in Hematology (2.8k citations), Oncology (1.6k citations), Genetics (492 citations), Molecular Biology (1.9k citations) and Immunology (538 citations). Neha Korde has collaborated with scholars based in United States, Sweden and Iceland. Frequent co-authors include Ola Landgren, Sham Mailankody, Sigurdur Yngvi Kristinsson, Ingemar Turesson, Mark J. Roschewski, Alexander M. Lesokhin, Hani Hassoun, Dickran Gano Kazandjian, Mary Kwok and Rene Costello. Their work appears in journals such as Blood, Blood Advances, Blood Cancer Journal, Transplantation and Cellular Therapy and Clinical Cancer Research.

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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