Sukesh C. Nair
- Hematology top 1%
- Platelet Disorders and Treatments 32
- Hemophilia Treatment and Research 27
- Blood Coagulation and Thrombosis Mechanisms 18
- Acute Myeloid Leukemia Research 8
- Internal Medicine top 5%
- Genetics top 5%
- Myeloproliferative Neoplasms: Diagnosis and Treatment 7
- Hepatology top 10%
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- Blood properties and coagulation 11
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- Clinical Laboratory Practices and Quality Control 9
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- Heparin-Induced Thrombocytopenia and Thrombosis 7
- Co-authors
- Alok SrivastavaAuro ViswabandyaVikram MathewsMammen ChandyBiju GeorgeGiridhara R. JayandharanMeera ChitlurYesim Dargaud
- Cited by
- HematologyInternal MedicineGenetics
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Sukesh C. Nair
94 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Hematology 720
- Internal Medicine 117
- Genetics 177
- Critical Care and Intensive Care Medicine 67
- Hepatology 70
Countries citing papers authored by Sukesh C. Nair
This map shows the geographic impact of Sukesh C. Nair'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 Sukesh C. Nair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sukesh C. Nair more than expected).
Fields of papers citing papers by Sukesh C. Nair
This network shows the impact of papers produced by Sukesh C. Nair. 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 Sukesh C. Nair. The network helps show where Sukesh C. Nair may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sukesh C. Nair, 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 | 2024 | 8 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 25 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 1 | |
| 9 | 2020 | 12 | |
| 10 | 2017 | 8 | |
| 11 | 2016 | 7 | |
| 12 | 2015 | 1 | |
| 13 | 2013 | 64 | |
| 14 | 2011 | 19 | |
| 15 | 2009 | 13 | |
| 16 | 2009 | 13 | |
| 17 | 2007 | 14 | |
| 18 | 2006 | 30 | |
| 19 | 2006 | 12 | |
| 20 | 2005 | 23 |
About Sukesh C. Nair
Sukesh C. Nair is a scholar working on Hematology, Genetics and Internal Medicine, having authored 104 papers that have together received 1.2k indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (32 papers), Hemophilia Treatment and Research (27 papers), Blood Coagulation and Thrombosis Mechanisms (18 papers), Blood properties and coagulation (11 papers), Clinical Laboratory Practices and Quality Control (9 papers), Acute Myeloid Leukemia Research (8 papers), Heparin-Induced Thrombocytopenia and Thrombosis (7 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (7 papers). The work is most often cited by research in Hematology (720 citations), Internal Medicine (117 citations) and Genetics (177 citations). Sukesh C. Nair has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Alok Srivastava, Auro Viswabandya, Vikram Mathews, Mammen Chandy, Biju George, Giridhara R. Jayandharan, Meera Chitlur, Yesim Dargaud, Midori Shima and Jecko Thachil. Their work appears in journals such as Haemophilia, Journal of Thrombosis and Haemostasis, Blood, Seminars in Thrombosis and Hemostasis and Scientific Reports.
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.