Malathi Kandarpa
Impact in
- Hematology top 5%
- Multiple Myeloma Research and Treatments
-
- Peptidase Inhibition and Analysis
- Cancer-related Molecular Pathways
Papers in
-
- Protein Degradation and Inhibitors 13
- Ubiquitin and proteasome pathways 9
- Hematology 26
- Multiple Myeloma Research and Treatments 18
- Chronic Myeloid Leukemia Treatments 6
- Co-authors
- Moshe Talpaz (30 shared papers)Andrzej Jakubowiak (17 shared papers)Luke F. Peterson (11 shared papers)Nicholas J. Donato (7 shared papers)Harish Potu (8 shared papers)Hanshi Sun (5 shared papers)Yi‐Hong Liu (5 shared papers)Xueying Liu (1 shared paper)
- Journals
- Blood (22 papers)Blood Advances (2 papers)Oncotarget (2 papers)British Journal of Haematology (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesPolandUnited Kingdom
In The Last Decade
Malathi Kandarpa
38 papers receiving 448 citations
Peers
Comparison fields: 5 of 46
- Hematology 162
- Oncology 142
- Genetics 47
- Molecular Biology 317
- Pathology and Forensic Medicine 33
Countries citing papers authored by Malathi Kandarpa
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
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.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 103 | |
| 2 | 2017 | 59 | |
| 3 | 2017 | 54 | |
| 4 | 2012 | 46 | |
| 5 | 2015 | 40 | |
| 6 | 2015 | 17 | |
| 7 | 2021 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2019 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2017 | 8 | |
| 13 | 2012 | 7 | |
| 14 | 2014 | 7 | |
| 15 | 2010 | 6 | |
| 16 | 2011 | 5 | |
| 17 | 2013 | 5 | |
| 18 | 2024 | 5 | |
| 19 | 2022 | 5 | |
| 20 | 2010 | 4 |
About Malathi Kandarpa
Malathi Kandarpa is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Pathology and Forensic Medicine, having authored 46 papers that have together received 452 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (18 papers), Protein Degradation and Inhibitors (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (13 papers), Ubiquitin and proteasome pathways (9 papers), Chronic Myeloid Leukemia Treatments (6 papers), Peptidase Inhibition and Analysis (6 papers), Cancer-related Molecular Pathways (4 papers) and Chronic Lymphocytic Leukemia Research (4 papers). The work is most often cited by research in Hematology (162 citations), Oncology (142 citations), Genetics (47 citations), Molecular Biology (317 citations) and Pathology and Forensic Medicine (33 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, Nicholas J. Donato, Harish Potu, Hanshi Sun, Yi‐Hong Liu, Xueying Liu, Scott A. Soleimanpour and Biaoxin Chai. Their work appears in journals such as Blood, Blood Advances, Oncotarget, British Journal of Haematology 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.