Surabhi Kakati
- Hematology top 2%
- Acute Myeloid Leukemia Research 13
- Chronic Myeloid Leukemia Treatments 12
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 13
- Genomic variations and chromosomal abnormalities 9
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- Lymphoma Diagnosis and Treatment 7
- Cancer Research top 10%
- Carcinogens and Genotoxicity Assessment 4
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 13
- Genomic variations and chromosomal abnormalities 9
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- Chromosomal and Genetic Variations 8
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- DNA Repair Mechanisms 6
- Co-authors
- Avery A. SandbergIsamu HayataMitsuo OshimuraE. PietrzakA. A. SandbergLongina M. GibasJames F. ReynoldsL Herrera
- Partner nations
- United StatesIndiaPoland
In The Last Decade
Surabhi Kakati
44 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 67
- Hematology 442
- Genetics 273
- Pathology and Forensic Medicine 403
- Cancer Research 277
- Genetics 352
Countries citing papers authored by Surabhi Kakati
This map shows the geographic impact of Surabhi Kakati'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 Surabhi Kakati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Surabhi Kakati more than expected).
Fields of papers citing papers by Surabhi Kakati
This network shows the impact of papers produced by Surabhi Kakati. 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 Surabhi Kakati. The network helps show where Surabhi Kakati may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Surabhi Kakati, 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 | 2000 | 11 | |
| 2 | 1998 | 44 | |
| 3 | 1995 | 7 | |
| 4 | 1993 | 1 | |
| 5 | 1993 | 15 | |
| 6 | 1991 | 2 | |
| 7 | 1990 | 3 | |
| 8 | 1988 | 3 | |
| 9 | The human int-1 gene is located at chromosome region 12q12-12q13 and is not rearranged in myxoid liposarcoma with t(12;16) (q13;p11). | 1988 | 29 |
| 10 | Growth pattern and SCE incidence in Ph1-positive cells of CML. | 1980 | 6 |
| 11 | Sister chromatid exchange in Philadelphia chromosome (Ph1)-positive leukemia. | 1978 | 43 |
| 12 | 1977 | 75 | |
| 13 | 1976 | 42 | |
| 14 | 1976 | 22 | |
| 15 | 1975 | 59 | |
| 16 | 1975 | 13 | |
| 17 | 1974 | 13 | |
| 18 | 1973 | 3 | |
| 19 | 1973 | 5 | |
| 20 | 1968 | 6 |
About Surabhi Kakati
Surabhi Kakati is a scholar working on Hematology, Genetics and Cancer Research, having authored 44 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (13 papers), Chronic Lymphocytic Leukemia Research (13 papers), Chronic Myeloid Leukemia Treatments (12 papers), Genomic variations and chromosomal abnormalities (9 papers), Chromosomal and Genetic Variations (8 papers), Lymphoma Diagnosis and Treatment (7 papers), DNA Repair Mechanisms (6 papers) and Carcinogens and Genotoxicity Assessment (4 papers). The work is most often cited by research in Hematology (442 citations), Genetics (273 citations) and Pathology and Forensic Medicine (403 citations). Surabhi Kakati has collaborated with scholars based in United States, India and Poland. Frequent co-authors include Avery A. Sandberg, Isamu Hayata, Mitsuo Oshimura, E. Pietrzak, A. A. Sandberg, Longina M. Gibas, James F. Reynolds, L Herrera, Anil K. Sinha and Masaharu Sakurai. Their work appears in journals such as The Lancet, Blood and Cancer.
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.