Prem Chandra
Impact in
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
Papers in ⓘ
- Hematology 17
- Chronic Myeloid Leukemia Treatments 9
- Genetics 12
- Chronic Lymphocytic Leukemia Research 8
- Co-authors
- Hongming Zhuang (3 shared papers)Abass Alavi (3 shared papers)Avnish Chauhan (2 shared papers)Saad J. Taj‐Aldeen (4 shared papers)Rakesh Kumar (1 shared paper)Mitchell D. Schnall (1 shared paper)Danilo Arnone (2 shared papers)Klaus P. Ebmeier (2 shared papers)
- Journals
- Blood (7 papers)Nuclear Medicine Communications (4 papers)Medicine (4 papers)BMC Pediatrics (4 papers)Oncology (2 papers)
- Partner nations
- QatarUnited StatesIndia
In The Last Decade
Prem Chandra
131 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 124
- Applied Microbiology and Biotechnology 40
- Radiology, Nuclear Medicine and Imaging 379
- Molecular Medicine 78
- Clinical Biochemistry 54
- Infectious Diseases 144
Countries citing papers authored by Prem Chandra
This map shows the geographic impact of Prem Chandra'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 Prem Chandra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prem Chandra more than expected).
Fields of papers citing papers by Prem Chandra
This network shows the impact of papers produced by Prem Chandra. 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 Prem Chandra. The network helps show where Prem Chandra may publish in the future.
Co-authors
The 25 scholars most cited alongside Prem Chandra, 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 148 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 154 | |
| 2 | 2008 | 81 | |
| 3 | 2019 | 78 | |
| 4 | 2013 | 60 | |
| 5 | 2006 | 51 | |
| 6 | 2019 | 48 | |
| 7 | 2016 | 46 | |
| 8 | 2017 | 45 | |
| 9 | 2007 | 42 | |
| 10 | 2004 | 37 | |
| 11 | 2021 | 37 | |
| 12 | 2015 | 37 | |
| 13 | 2006 | 35 | |
| 14 | 2005 | 33 | |
| 15 | 2014 | 31 | |
| 16 | 2021 | 26 | |
| 17 | 2010 | 25 | |
| 18 | 2007 | 25 | |
| 19 | 2021 | 23 | |
| 20 | 2018 | 22 |
About Prem Chandra
Prem Chandra is a scholar working on Hematology, Genetics, Emergency Medical Services, Hepatology and Epidemiology, having authored 148 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (9 papers), Chronic Myeloid Leukemia Treatments (9 papers), Neonatal Respiratory Health Research (9 papers), Central Venous Catheters and Hemodialysis (8 papers), Liver Disease Diagnosis and Treatment (8 papers), COVID-19 and Mental Health (8 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Healthcare professionals’ stress and burnout (6 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (40 citations), Radiology, Nuclear Medicine and Imaging (379 citations), Molecular Medicine (78 citations), Clinical Biochemistry (54 citations) and Infectious Diseases (144 citations). Prem Chandra has collaborated with scholars based in Qatar, United States and India. Frequent co-authors include Hongming Zhuang, Abass Alavi, Avnish Chauhan, Saad J. Taj‐Aldeen, Rakesh Kumar, Mitchell D. Schnall, Danilo Arnone, Klaus P. Ebmeier, Andrew M. McIntosh and Chandrasekhar Bal. Their work appears in journals such as Blood, Nuclear Medicine Communications, Medicine, BMC Pediatrics and Oncology.
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.