Damodar B. Balar
- Molecular Biology
- Oncology
- Cancer Research
- Pathology and Forensic Medicine
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Devendra D. PatelPrabhudas S. PatelJyotsna M. BhatavdekarNandita GhoshNeelam G. ShahSiddharth G. AdhvaryuTejal P. SutharPriya R. Chikhlikar
- Topics
- Glycosylation and Glycoproteins Research (8 papers)Growth Hormone and Insulin-like Growth Factors (8 papers)Cancer-related Molecular Pathways (4 papers)
- Partner nations
- IndiaUnited States
In The Last Decade
Damodar B. Balar
41 papers receiving 530 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 266
- Oncology 207
- Cancer Research 109
- Pathology and Forensic Medicine 106
- Endocrinology, Diabetes and Metabolism 101
Countries citing papers authored by Damodar B. Balar
This map shows the geographic impact of Damodar B. Balar'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 Damodar B. Balar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Damodar B. Balar more than expected).
Fields of papers citing papers by Damodar B. Balar
This network shows the impact of papers produced by Damodar B. Balar. 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 Damodar B. Balar. The network helps show where Damodar B. Balar may publish in the future.
Co-authorship network of co-authors of Damodar B. Balar
This figure shows the co-authorship network connecting the top 25 collaborators of Damodar B. Balar. A scholar is included among the top collaborators of Damodar B. Balar 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 Damodar B. Balar. Damodar B. Balar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | Importance of glycoproteins in human cancer. | 10 |
| 3 | 37 | |
| 4 | 11 | |
| 5 | Elevated mutagen susceptibility in cultured lymphocytes of oral cancer patients. | 2 |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 14 | |
| 9 | 9 | |
| 10 | 5 | |
| 11 | 12 | |
| 12 | 12 | |
| 13 | 18 | |
| 14 | 23 | |
| 15 | 19 | |
| 16 | 15 | |
| 17 | 44 | |
| 18 | 2 | |
| 19 | 15 | |
| 20 | 3 |
About Damodar B. Balar
Damodar B. Balar is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Oncology, having authored 41 papers that have together received 548 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Growth Hormone and Insulin-like Growth Factors (8 papers) and Cancer-related Molecular Pathways (4 papers). The work is most often cited by research in Oncology (207 citations), Cancer Research (109 citations) and Otorhinolaryngology (29 citations). Damodar B. Balar has collaborated with scholars based in India and United States. Frequent co-authors include Devendra D. Patel, Prabhudas S. Patel, Jyotsna M. Bhatavdekar, Nandita Ghosh, Neelam G. Shah, Siddharth G. Adhvaryu, Tejal P. Suthar, Priya R. Chikhlikar, Pankaj Shah and Rakesh Rawal. Their work appears in journals such as Cancer, International Journal of Cancer and Carcinogenesis.
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.