Gita Jayaram
- Surgery top 5%
- Pathology and Forensic Medicine top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Oncology top 10%
- Epidemiology
- Co-authors
- Cheng Har YipMing Tsuey ChewMeenakshi SwainPavai SthaneshwarNeelam SoodR. K. MarwahaArun Kumar VermaNita Khurana
- Topics
- Thyroid Cancer Diagnosis and Treatment (20 papers)Breast Lesions and Carcinomas (16 papers)Salivary Gland Tumors Diagnosis and Treatment (11 papers)
In The Last Decade
Gita Jayaram
82 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 69
- Surgery 578
- Pathology and Forensic Medicine 345
- Endocrinology, Diabetes and Metabolism 325
- Oncology 265
- Epidemiology 212
Countries citing papers authored by Gita Jayaram
This map shows the geographic impact of Gita Jayaram'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 Gita Jayaram with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gita Jayaram more than expected).
Fields of papers citing papers by Gita Jayaram
This network shows the impact of papers produced by Gita Jayaram. 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 Gita Jayaram. The network helps show where Gita Jayaram may publish in the future.
Co-authorship network of co-authors of Gita Jayaram
This figure shows the co-authorship network connecting the top 25 collaborators of Gita Jayaram. A scholar is included among the top collaborators of Gita Jayaram 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 Gita Jayaram. Gita Jayaram is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 18 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 44 | |
| 7 | Fine needle aspiration cytology of hyalinizing trabecular adenoma of the thyroid. | 5 |
| 8 | 29 | |
| 9 | 23 | |
| 10 | 13 | |
| 11 | 7 | |
| 12 | 12 | |
| 13 | Ultrasound evaluation of proptosis | 1 |
| 14 | 68 | |
| 15 | 26 | |
| 16 | 14 | |
| 17 | 6 | |
| 18 | Fine needle aspiration cytologic diagnosis of the solitary cold thyroid nodule. Comparison with ultrasonography, radionuclide perfusion study and xeroradiography. | 26 |
| 19 | 16 | |
| 20 | 6 |
About Gita Jayaram
Gita Jayaram is a scholar working on Microbiology, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine, having authored 85 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (20 papers), Breast Lesions and Carcinomas (16 papers) and Salivary Gland Tumors Diagnosis and Treatment (11 papers). The work is most often cited by research in Dermatology (208 citations), Endocrinology, Diabetes and Metabolism (325 citations) and Pathology and Forensic Medicine (345 citations). Gita Jayaram has collaborated with scholars based in Malaysia, India and Singapore. Frequent co-authors include Cheng Har Yip, Ming Tsuey Chew, Meenakshi Swain, Pavai Sthaneshwar, Neelam Sood, R. K. Marwaha, Arun Kumar Verma, Nita Khurana, Gupta Rk and Sharma Sk. Their work appears in journals such as American Journal of Ophthalmology, Journal of Clinical Pathology and American Journal of Clinical Pathology.
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.