S.C. Jhanwar
Impact in
- Genetics top 1%
- Chronic Lymphocytic Leukemia Research
- Hematology top 1%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Hematology 15
- Acute Myeloid Leukemia Research 10
- Chronic Myeloid Leukemia Treatments 8
- Genetics 14
- Chronic Lymphocytic Leukemia Research 12
- Co-authors
- Marc LadanyiR. S. K. ChagantiRS ChagantiW S HaywardBenjamin G. NeelJohn H. HealeyAndrew G. HuvosD Filippa
- Journals
- Cytogenetic and Genome Research (13 papers)Journal of Clinical Oncology (8 papers)Blood (7 papers)Proceedings of the National Academy of Sciences (5 papers)Oncogene (2 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
S.C. Jhanwar
66 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 98
- Genetics 704
- Hematology 661
- Pathology and Forensic Medicine 980
- Pulmonary and Respiratory Medicine 1.4k
- Oncology 1.1k
Countries citing papers authored by S.C. Jhanwar
This map shows the geographic impact of S.C. Jhanwar'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 S.C. Jhanwar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.C. Jhanwar more than expected).
Fields of papers citing papers by S.C. Jhanwar
This network shows the impact of papers produced by S.C. Jhanwar. 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 S.C. Jhanwar. The network helps show where S.C. Jhanwar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside S.C. Jhanwar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 19 | |
| 2 | 2009 | 48 | |
| 3 | A Cone Precursor Phenotype Distinguishes Human Retinoblastoma From Mouse Retinoblastoma Models | 2008 | 0 |
| 4 | 2006 | 137 | |
| 5 | 2004 | 34 | |
| 6 | 2001 | 12 | |
| 7 | 2000 | 7 | |
| 8 | 1998 | 82 | |
| 9 | 1998 | 376 | |
| 10 | 1997 | 7 | |
| 11 | 1990 | 1 | |
| 12 | 1989 | 12 | |
| 13 | 1989 | 24 | |
| 14 | 1987 | 89 | |
| 15 | 1986 | 41 | |
| 16 | 1986 | 24 | |
| 17 | 1986 | 25 | |
| 18 | Properties of myelofibrosis-derived fibroblasts. | 1984 | 17 |
| 19 | 1984 | 39 | |
| 20 | 1981 | 16 |
About S.C. Jhanwar
S.C. Jhanwar is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Oncology and Cancer Research, having authored 67 papers that have together received 4.2k indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (12 papers), Acute Myeloid Leukemia Research (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Cancer-related Molecular Pathways (9 papers), Sarcoma Diagnosis and Treatment (9 papers), Genetic factors in colorectal cancer (8 papers), Chronic Myeloid Leukemia Treatments (8 papers) and Cancer Genomics and Diagnostics (7 papers). The work is most often cited by research in Genetics (704 citations), Hematology (661 citations), Pathology and Forensic Medicine (980 citations), Pulmonary and Respiratory Medicine (1.4k citations) and Oncology (1.1k citations). S.C. Jhanwar has collaborated with scholars based in United States, India and China. Frequent co-authors include Marc Ladanyi, R. S. K. Chaganti, RS Chaganti, W S Hayward, Benjamin G. Neel, John H. Healey, Andrew G. Huvos, D Filippa, Joseph R. Testa and Kenneth Offit. Their work appears in journals such as Cytogenetic and Genome Research, Journal of Clinical Oncology, Blood, Proceedings of the National Academy of Sciences and Oncogene.
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.