Baskar Ramdas

1.6k citations
46 papers · 1.2k · h-index 18

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 17
    • Mast cells and histamine 15
    • Immune Cell Function and Interaction 7

Baskar Ramdas

43 papers receiving 1.2k citations

Peers

Baskar Ramdas
Comparison fields: 5 of 70
  • Hematology 530
  • Genetics 267
  • Immunology 341
  • Cancer Research 166
  • Molecular Biology 544
Replace Sally‐Ann Clark with:
Sally‐Ann Clark United Kingdom
Dorothée Selimoglu‐Buet France
Bijender Kumar United States
Cintia Carella Italy
Yasuhiko Kamikubo Japan
Sandra Blaszkiewicz Germany
Onima Chowdhury United Kingdom
Nari Harakawa Japan
Sherif Ibrahim United States
Jeffrey S. Painter United States
Baskar Ramdas relative to Sally‐Ann Clark United Kingdom Sally‐Ann Clark's profile →
Citations per field
00.5×1.6×
Sally‐Ann Clark · 1×
Citations per year

Countries citing papers authored by Baskar Ramdas

Since Specialization
Citations

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

Fields of papers citing papers by Baskar Ramdas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018305
2 201995
3 202384
4 201183
5 202259
6 201451
7 201245
8 201244
9 201641
10 201337
11 202034
12 201930
13 202029
14 201028
15 201126
16 201623
17 201822
18 202220
19 201118
20 201717

About Baskar Ramdas

Baskar Ramdas is a scholar working on Hematology, Immunology, Genetics, Molecular Biology and Cancer Research, having authored 46 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (17 papers), Mast cells and histamine (15 papers), Immune Cell Function and Interaction (7 papers), PI3K/AKT/mTOR signaling in cancer (6 papers), Protein Tyrosine Phosphatases (6 papers), Eosinophilic Disorders and Syndromes (4 papers), Epigenetics and DNA Methylation (4 papers) and Histone Deacetylase Inhibitors Research (4 papers). The work is most often cited by research in Hematology (530 citations), Genetics (267 citations), Immunology (341 citations), Cancer Research (166 citations) and Molecular Biology (544 citations). Baskar Ramdas has collaborated with scholars based in United States, Poland and Canada. Frequent co-authors include Reuben Kapur, Raghuveer Singh Mali, George Earl Sandusky, Ruchi Pandey, Lakshmi Reddy Palam, Adam Williams, Morvarid Mohseni, Jorge Henao‐Mejia, Jonathan J. Kotzin and Rebecca J. Chan. Their work appears in journals such as Blood, Journal of Clinical Investigation, Leukemia, JCI Insight and Nature Communications.

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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