Prashant Warang
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Blood disorders and treatments
- Hematology top 10%
- Blood groups and transfusion
- Iron Metabolism and Disorders
Papers in
-
- Neonatal Health and Biochemistry 20
- Prenatal Screening and Diagnostics 2
- Physiology 22
- Erythrocyte Function and Pathophysiology 22
- Co-authors
- Prabhakar Kedar (23 shared papers)Roshan Colah (22 shared papers)Kanjaksha Ghosh (15 shared papers)Manisha Madkaikar (7 shared papers)Malay B. Mukherjee (5 shared papers)Junichi Fujii (2 shared papers)Takujiro Homma (2 shared papers)Anita Nadkarni (6 shared papers)
In The Last Decade
Prashant Warang
31 papers receiving 338 citations
Peers
Comparison fields: 5 of 57
- Genetics 113
- Hematology 108
- Pediatrics, Perinatology and Child Health 156
- Physiology 195
- Pulmonary and Respiratory Medicine 87
Countries citing papers authored by Prashant Warang
This map shows the geographic impact of Prashant Warang'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 Prashant Warang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashant Warang more than expected).
Fields of papers citing papers by Prashant Warang
This network shows the impact of papers produced by Prashant Warang. 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 Prashant Warang. The network helps show where Prashant Warang may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashant Warang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 48 | |
| 2 | 2011 | 34 | |
| 3 | 2013 | 24 | |
| 4 | 2013 | 18 | |
| 5 | 2018 | 17 | |
| 6 | 2009 | 16 | |
| 7 | 2010 | 16 | |
| 8 | 2018 | 14 | |
| 9 | 2018 | 14 | |
| 10 | 2020 | 13 | |
| 11 | 2012 | 13 | |
| 12 | 2019 | 11 | |
| 13 | 2020 | 11 | |
| 14 | 2010 | 10 | |
| 15 | 2006 | 10 | |
| 16 | 2010 | 9 | |
| 17 | 2006 | 9 | |
| 18 | 2007 | 8 | |
| 19 | 2014 | 8 | |
| 20 | 2015 | 5 |
About Prashant Warang
Prashant Warang is a scholar working on Pediatrics, Perinatology and Child Health, Physiology, Genetics, Pulmonary and Respiratory Medicine and Hematology, having authored 31 papers that have together received 345 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (22 papers), Neonatal Health and Biochemistry (20 papers), Hemoglobinopathies and Related Disorders (13 papers), Methemoglobinemia and Tumor Lysis Syndrome (8 papers), Iron Metabolism and Disorders (6 papers), Blood disorders and treatments (5 papers), Blood groups and transfusion (4 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Genetics (113 citations), Hematology (108 citations), Pediatrics, Perinatology and Child Health (156 citations), Physiology (195 citations) and Pulmonary and Respiratory Medicine (87 citations). Prashant Warang has collaborated with scholars based in India, Japan and Italy. Frequent co-authors include Prabhakar Kedar, Roshan Colah, Kanjaksha Ghosh, Manisha Madkaikar, Malay B. Mukherjee, Junichi Fujii, Takujiro Homma, Anita Nadkarni, Sho Kobayashi and Maya Gupta. Their work appears in journals such as Cytometry Part B Clinical Cytometry, Journal of Clinical Pathology, Blood Cells Molecules and Diseases, Clinical Genetics and British Journal of Haematology.
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.