Ram Chillar
Impact in
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Biochemistry top 10%
- Blood transfusion and management
Papers in
- Co-authors
- Jaydutt V. Vadgama (5 shared papers)Yanyuan Wu (3 shared papers)Ernest Beutler (3 shared papers)Huma Khan (2 shared papers)Geetanjali D. Datta (1 shared paper)Jeffrey L. Wolf (2 shared papers)John L. Fahey (1 shared paper)Edward P. Scott (1 shared paper)
- Journals
- British Journal of Haematology (2 papers)International Journal of Oncology (2 papers)New England Journal of Medicine (2 papers)American Journal of Clinical Pathology (1 paper)Transfusion (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Ram Chillar
16 papers receiving 563 citations
Peers
Comparison fields: 5 of 74
- Hematology 248
- Biochemistry 45
- Genetics 66
- Oncology 151
- Endocrinology, Diabetes and Metabolism 68
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-authors
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 | 1980 | 223 | |
| 2 | 1999 | 101 | |
| 3 | 1977 | 86 | |
| 4 | 2008 | 45 | |
| 5 | 2002 | 32 | |
| 6 | Mutation analysis of BRCA1 gene in African-American patients with breast cancer. | 2000 | 26 |
| 7 | The effects of using Chemocap on occurrence of chemotherapy-induced alopecia. | 1983 | 26 |
| 8 | 1976 | 22 | |
| 9 | 1999 | 18 | |
| 10 | 1981 | 16 | |
| 11 | 1974 | 15 | |
| 12 | 1971 | 14 | |
| 13 | 1988 | 5 | |
| 14 | 1982 | 4 | |
| 15 | 1981 | 3 | |
| 16 | Missense alterations of BRCA1 gene detected in diverse cancer patients. | 2000 | 3 |
| 17 | 2009 | 0 |
About Ram Chillar
Ram Chillar is a scholar working on Genetics, Oncology, Molecular Biology, Hematology and Pediatrics, Perinatology and Child Health, having authored 17 papers that have together received 639 indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (3 papers), BRCA gene mutations in cancer (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Neonatal Health and Biochemistry (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Metabolism and Genetic Disorders (1 paper), Polyomavirus and related diseases (1 paper) and Retinoids in leukemia and cellular processes (1 paper). The work is most often cited by research in Hematology (248 citations), Biochemistry (45 citations), Genetics (66 citations), Oncology (151 citations) and Endocrinology, Diabetes and Metabolism (68 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, John L. Fahey, Edward P. Scott, G. Schmidt and Stephen J. Forman. Their work appears in journals such as British Journal of Haematology, International Journal of Oncology, New England Journal of Medicine, American Journal of Clinical Pathology and Transfusion.
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.