Rajeev Ramanathan

722 citations
17 papers · 575 · h-index 12

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
  • Hematology top 10%
    • Multiple Myeloma Research and Treatments

Papers in

Rajeev Ramanathan

17 papers receiving 552 citations

Peers

Rajeev Ramanathan
Comparison fields: 5 of 75
  • Cell Biology 109
  • Hematology 71
  • Molecular Biology 363
  • Cellular and Molecular Neuroscience 90
  • Oncology 108
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Citations per field
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Citations per year

Countries citing papers authored by Rajeev Ramanathan

Since Specialization
Citations

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

Fields of papers citing papers by Rajeev Ramanathan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1980165
2
Improved quantitation of minimal residual disease in multiple myeloma using real-time polymerase chain reaction and plasmid-DNA complementarity determining region III standards.
1998100
3 199766
4 199945
5 198437
6 199731
7
Pharmacokinetics of paclitaxel and carboplatin in combination.
199522
8 198318
9 200617
10 198115
11
Ionic channels of Paramecium: from genetics and electrophysiology to biochemistry.
198113
12
Analysis and variability of TGFbeta measurements in cancer patients with skeletal metastases.
200812
13 200511
14 198310
15 19848
16 19994
17 20061

About Rajeev Ramanathan

Rajeev Ramanathan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 17 papers that have together received 575 indexed citations. Recurring topics across this work include Protist diversity and phylogeny (7 papers), Photoreceptor and optogenetics research (5 papers), Cancer Genomics and Diagnostics (2 papers), Cancer Treatment and Pharmacology (2 papers), HIV/AIDS drug development and treatment (2 papers), Plant and Biological Electrophysiology Studies (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (109 citations), Hematology (71 citations), Molecular Biology (363 citations), Cellular and Molecular Neuroscience (90 citations) and Oncology (108 citations). Rajeev Ramanathan has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include David Lee Nelson, Roland R. Dute, C Kung, Chris Reading, K.‐Y. Ling, A Adoutte, Robert M. Lewis, Elie G. Hanania, Michael Forte and Nobuyuki Haga. Their work appears in journals such as The Journal of Cell Biology, Journal of Clinical Oncology, Cell, Clinical Oncology and Leukemia.

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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