Malathi Kandarpa

1.2k citations
44 papers · 441 · h-index 9

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Chronic Myeloid Leukemia Treatments
    • Peptidase Inhibition and Analysis
    • Cancer-related Molecular Pathways

Papers in

    • Protein Degradation and Inhibitors 12
    • Ubiquitin and proteasome pathways 9
    • Multiple Myeloma Research and Treatments 18
    • Chronic Myeloid Leukemia Treatments 6

Malathi Kandarpa

37 papers receiving 437 citations

Peers

Malathi Kandarpa
Comparison fields: 5 of 46
  • Hematology 170
  • Oncology 155
  • Molecular Biology 335
  • Genetics 51
  • Pathology and Forensic Medicine 31
Replace Jessica Haug with:
Jessica Haug United States
Laura Quotti Tubi Italy
Daniel Sasca Germany
Aurelia Lamanuzzi Italy
Arnold Bolomsky Austria
P. Dieringer United States
Sijana H. Dzinic United States
Martin Kirschner Germany
Xiaoying Qi China
Ying‐Ming Jou United States
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Citations per field
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Citations per year

Countries citing papers authored by Malathi Kandarpa

Since Specialization
Citations

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

Fields of papers citing papers by Malathi Kandarpa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015101
2 201758
3 201753
4 201246
5 201540
6 201516
7 202111
8 202111
9 20199
10 20218
11 20178
12 20237
13 20127
14 20147
15 20106
16 20225
17 20115
18 20135
19 20244
20 20104

About Malathi Kandarpa

Malathi Kandarpa is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Rheumatology, having authored 44 papers that have together received 441 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (18 papers), Protein Degradation and Inhibitors (12 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (12 papers), Ubiquitin and proteasome pathways (9 papers), Chronic Myeloid Leukemia Treatments (6 papers), Peptidase Inhibition and Analysis (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Eosinophilic Disorders and Syndromes (5 papers). The work is most often cited by research in Hematology (170 citations), Oncology (155 citations), Molecular Biology (335 citations), Genetics (51 citations) and Pathology and Forensic Medicine (31 citations). Malathi Kandarpa has collaborated with scholars based in United States, Poland and United Kingdom. Frequent co-authors include Moshe Talpaz, Andrzej Jakubowiak, Luke F. Peterson, Harish Potu, Nicholas J. Donato, Hanshi Sun, Biaoxin Chai, Robert C. Piper, Gemma L. Pearson and Xueying Liu. Their work appears in journals such as Blood, British Journal of Haematology, Blood Advances, Oncotarget and Molecular Cancer Therapeutics.

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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