Manoj Chadha
- Endocrinology, Diabetes and Metabolism top 5%
- Surgery top 10%
- Orthopedics and Sports Medicine top 5%
- Molecular Biology
- Genetics
- Co-authors
- Nikhil BhagwatAmeya JoshiPremlata K VarthakaviWeibo XiaYoon‐Sok ChungSaeko FujiwaraUnnop JaisamrarnYasuhiro Takeuchi
- Topics
- Diabetes Management and Research (11 papers)Diabetes Treatment and Management (11 papers)Bone health and osteoporosis research (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaPediatric DiabetesJournal of Diabetes Science and Technology
- Partner nations
- IndiaUnited StatesTaiwan
In The Last Decade
Manoj Chadha
35 papers receiving 773 citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Endocrinology, Diabetes and Metabolism 318
- Surgery 281
- Orthopedics and Sports Medicine 231
- Molecular Biology 136
- Genetics 116
Countries citing papers authored by Manoj Chadha
This map shows the geographic impact of Manoj Chadha'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 Manoj Chadha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manoj Chadha more than expected).
Fields of papers citing papers by Manoj Chadha
This network shows the impact of papers produced by Manoj Chadha. 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 Manoj Chadha. The network helps show where Manoj Chadha may publish in the future.
Co-authorship network of co-authors of Manoj Chadha
This figure shows the co-authorship network connecting the top 25 collaborators of Manoj Chadha. A scholar is included among the top collaborators of Manoj Chadha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manoj Chadha. Manoj Chadha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 2 | |
| 6 | 20 | |
| 7 | 28 | |
| 8 | 21 | |
| 9 | An updated hip fracture projection in Asia: The Asian Federation of Osteoporosis Societies studybreakdown → | 242 |
| 10 | 8 | |
| 11 | 56 | |
| 12 | 17 | |
| 13 | 10 | |
| 14 | 11 | |
| 15 | 29 | |
| 16 | 7 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | 4 | |
| 20 | 61 |
About Manoj Chadha
Manoj Chadha is a scholar working on Endocrinology, Diabetes and Metabolism, Orthopedics and Sports Medicine and Nephrology, having authored 40 papers that have together received 796 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Diabetes Treatment and Management (11 papers) and Bone health and osteoporosis research (8 papers). The work is most often cited by research in Orthopedics and Sports Medicine (231 citations), Endocrinology, Diabetes and Metabolism (318 citations) and Nephrology (51 citations). Manoj Chadha has collaborated with scholars based in India, United States and Taiwan. Frequent co-authors include Nikhil Bhagwat, Ameya Joshi, Premlata K Varthakavi, Weibo Xia, Yoon‐Sok Chung, Saeko Fujiwara, Unnop Jaisamrarn, Yasuhiro Takeuchi, Chih-Hsing Wu and Fen Lee Hew. Their work appears in journals such as SHILAP Revista de lepidopterología, Pediatric Diabetes and Journal of Diabetes Science and Technology.
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.