Kumar Sukhdeo
Impact in
- Hematology top 2%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer Cells and Metastasis
Papers in
-
- Wnt/β-catenin signaling in development and cancer 5
- Ubiquitin and proteasome pathways 4
- Glycosylation and Glycoproteins Research 2
- Oncology 9
- Cancer Cells and Metastasis 3
- Peptidase Inhibition and Analysis 3
- Co-authors
- Daniel R. Carrasco (9 shared papers)Kenneth C. Anderson (7 shared papers)Mala Mani (3 shared papers)Daniel E. Carrasco (3 shared papers)Marina Protopopova (5 shared papers)Ronald A. DePinho (5 shared papers)Giovanni Tonon (2 shared papers)Alexei Protopopov (3 shared papers)
- Journals
- Cancer Cell (4 papers)Blood (3 papers)Skin Appendage Disorders (2 papers)PLoS ONE (2 papers)The Journal of Experimental Medicine (1 paper)
- Partner nations
- United StatesJapanChina
In The Last Decade
Kumar Sukhdeo
25 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Hematology 362
- Oncology 548
- Cell Biology 255
- Urology 79
- Molecular Biology 936
Countries citing papers authored by Kumar Sukhdeo
This map shows the geographic impact of Kumar Sukhdeo'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 Kumar Sukhdeo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kumar Sukhdeo more than expected).
Fields of papers citing papers by Kumar Sukhdeo
This network shows the impact of papers produced by Kumar Sukhdeo. 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 Kumar Sukhdeo. The network helps show where Kumar Sukhdeo may publish in the future.
Co-authors
The 25 scholars most cited alongside Kumar Sukhdeo, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 332 | |
| 2 | 2006 | 307 | |
| 3 | 2013 | 299 | |
| 4 | 2012 | 218 | |
| 5 | 2007 | 193 | |
| 6 | 2020 | 59 | |
| 7 | 2006 | 50 | |
| 8 | 2013 | 26 | |
| 9 | 2007 | 23 | |
| 10 | 2013 | 23 | |
| 11 | 2020 | 20 | |
| 12 | 2013 | 17 | |
| 13 | 2014 | 12 | |
| 14 | 2017 | 7 | |
| 15 | 2015 | 5 | |
| 16 | 2021 | 4 | |
| 17 | 2005 | 3 | |
| 18 | 2020 | 3 | |
| 19 | 2006 | 3 | |
| 20 | 2018 | 2 |
About Kumar Sukhdeo
Kumar Sukhdeo is a scholar working on Molecular Biology, Oncology, Dermatology, Urology and Hematology, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (5 papers), Hair Growth and Disorders (5 papers), Ubiquitin and proteasome pathways (4 papers), Cancer Cells and Metastasis (3 papers), Multiple Myeloma Research and Treatments (3 papers), Peptidase Inhibition and Analysis (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Hematology (362 citations), Oncology (548 citations), Cell Biology (255 citations), Urology (79 citations) and Molecular Biology (936 citations). Kumar Sukhdeo has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Daniel R. Carrasco, Kenneth C. Anderson, Mala Mani, Daniel E. Carrasco, Marina Protopopova, Ronald A. DePinho, Giovanni Tonon, Alexei Protopopov, Raktim Sinha and Mei Zheng. Their work appears in journals such as Cancer Cell, Blood, Skin Appendage Disorders, PLoS ONE and The Journal of Experimental Medicine.
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.