Ram Chillar
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 2
- Acute Myeloid Leukemia Research 1
- Biochemistry top 10%
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- HER2/EGFR in Cancer Research 2
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- Hemoglobinopathies and Related Disorders 3
- BRCA gene mutations in cancer 2
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- Neonatal Health and Biochemistry 2
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- Erythrocyte Function and Pathophysiology 2
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- Porphyrin Metabolism and Disorders 1
- Co-authors
- Jaydutt V. VadgamaYanyuan WuErnest BeutlerHuma KhanGeetanjali D. DattaJeffrey L. WolfG. SchmidtWayne E. Spruce
- Cited by
- HematologyBiochemistryOncology
- Journals
- British Journal of Haematology (2 papers)New England Journal of Medicine (2 papers)International Journal of Oncology (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Ram Chillar
17 papers receiving 532 citations
Peers
Comparison fields: 5 of 76
- Hematology 231
- Biochemistry 47
- Oncology 174
- Genetics 60
- Endocrinology, Diabetes and Metabolism 78
Countries citing papers authored by Ram Chillar
This map shows the geographic impact of Ram Chillar'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 Ram Chillar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ram Chillar more than expected).
Fields of papers citing papers by Ram Chillar
This network shows the impact of papers produced by Ram Chillar. 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 Ram Chillar. The network helps show where Ram Chillar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ram Chillar, 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 | 2008 | 45 | |
| 2 | 2002 | 30 | |
| 3 | Mutation analysis of BRCA1 gene in African-American patients with breast cancer. | 2000 | 26 |
| 4 | Missense alterations of BRCA1 gene detected in diverse cancer patients. | 2000 | 3 |
| 5 | 1999 | 96 | |
| 6 | 1999 | 18 | |
| 7 | 1988 | 5 | |
| 8 | The effects of using Chemocap on occurrence of chemotherapy-induced alopecia. | 1983 | 26 |
| 9 | 1982 | 2 | |
| 10 | 1981 | 3 | |
| 11 | 1981 | 11 | |
| 12 | 1980 | 196 | |
| 13 | 1978 | 3 | |
| 14 | 1977 | 81 | |
| 15 | 1976 | 18 | |
| 16 | 1974 | 13 | |
| 17 | 1971 | 13 |
About Ram Chillar
Ram Chillar is a scholar working on Genetics, Hematology, Oncology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 17 papers that have together received 589 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (3 papers), BRCA gene mutations in cancer (2 papers), Neonatal Health and Biochemistry (2 papers), Erythrocyte Function and Pathophysiology (2 papers), HER2/EGFR in Cancer Research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Acute Myeloid Leukemia Research (1 paper) and Porphyrin Metabolism and Disorders (1 paper). The work is most often cited by research in Hematology (231 citations), Biochemistry (47 citations), Oncology (174 citations), Genetics (60 citations) and Endocrinology, Diabetes and Metabolism (78 citations). Ram Chillar has collaborated with scholars based in United States and China. Frequent co-authors include Jaydutt V. Vadgama, Yanyuan Wu, Ernest Beutler, Huma Khan, Geetanjali D. Datta, Jeffrey L. Wolf, G. Schmidt, Wayne E. Spruce, Edward P. Scott and Stephen J. Forman. Their work appears in journals such as British Journal of Haematology, New England Journal of Medicine, International Journal of Oncology, Transfusion and Acta Haematologica.
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.