Ravindra Majeti

30.3k citations
161 papers · 16.4k indexed · 12 hit papers · h-index 55
  • Hematology top 0.1%
    • Acute Myeloid Leukemia Research 80
    • Hematopoietic Stem Cell Transplantation 24
    • Chronic Myeloid Leukemia Treatments 14
  • Immunology top 0.1%
    • Phagocytosis and Immune Regulation 32
    • Immune cells in cancer 18
  • Oncology top 0.5%
  • Genetics top 0.5%
    • Cancer Genomics and Diagnostics 31
    • Erythrocyte Function and Pathophysiology 20
    • Epigenetics and DNA Methylation 15

Ravindra Majeti

153 papers receiving 16.3k citations

Hit Papers

Targeting Cancer Stemness in the Clinic:...36720092026201420204008001.2k

Peers

Ravindra Majeti
Comparison fields: 5 of 146
  • Hematology 4.7k
  • Immunology 7.4k
  • Oncology 3.9k
  • Genetics 1.5k
  • Cancer Research 2.0k
Replace Emmanuelle Passegué with:
Emmanuelle Passegué United States
Margaret A. Goodell United States
Thalia Papayannopoulou United States
Gerard C. Grosveld United States
Christopher Y. Park United States
Tsvee Lapidot Israel
Boris Fehse Germany
Helmut Hanenberg Germany
Christopher R. Vakoc United States
Dominique Bonnet United Kingdom
Ravindra Majeti relative to Emmanuelle Passegué United States Emmanuelle Passegué's profile →
Citations per field
00.5×1.7×
Emmanuelle Passegué · 1×
Citations per year

Countries citing papers authored by Ravindra Majeti

Since Specialization
Citations

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

Fields of papers citing papers by Ravindra Majeti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ravindra Majeti, 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 Ravindra Majeti Line = papers co-authored together Ravindra Majeti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 202412
3 20239
4 20230
5 202340
6 202333
7 202283
8 202239
9 202122
10 202165
11 202121
12 202018
13 202012
14 201823
15 201789
16 2017144
17 2016112
18 201641
19 201544
20 2010294

About Ravindra Majeti

Ravindra Majeti is a scholar working on Hematology, Immunology and Cancer Research, having authored 161 papers that have together received 16.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (80 papers), Phagocytosis and Immune Regulation (32 papers), Cancer Genomics and Diagnostics (31 papers), Hematopoietic Stem Cell Transplantation (24 papers), Erythrocyte Function and Pathophysiology (20 papers), Immune cells in cancer (18 papers), Epigenetics and DNA Methylation (15 papers) and Chronic Myeloid Leukemia Treatments (14 papers). The work is most often cited by research in Hematology (4.7k citations), Immunology (7.4k citations) and Oncology (3.9k citations). Ravindra Majeti has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Irving L. Weissman, Mark P. Chao, M. Ryan Corces, Siddhartha Jaiswal, Christopher Y. Park, Ash A. Alizadeh, Wendy W. Pang, Nico van Rooijen, Danièl Thomas and Arthur Weiss. Their work appears in journals such as Nature, Science and Cell.

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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