Latha Ramalingam
- Physiology top 5%
- Molecular Biology
- Epidemiology top 5%
- Nutrition and Dietetics top 2%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Naïma Moustaïd‐MoussaNishan S. KalupahanaKalhara R. MenikdiwelaJannette M. DufourMandana PahlavaniKembra Albracht‐SchulteDebbie C. ThurmondShane Scoggin
- Topics
- Adipose Tissue and Metabolism (40 papers)Adipokines, Inflammation, and Metabolic Diseases (28 papers)Fatty Acid Research and Health (26 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaThe Journal of Cell Biology
- Partner nations
- United StatesSri LankaBrazil
In The Last Decade
Latha Ramalingam
99 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 174
- Physiology 720
- Molecular Biology 614
- Epidemiology 478
- Nutrition and Dietetics 366
- Endocrinology, Diabetes and Metabolism 271
Countries citing papers authored by Latha Ramalingam
This map shows the geographic impact of Latha Ramalingam'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 Latha Ramalingam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Latha Ramalingam more than expected).
Fields of papers citing papers by Latha Ramalingam
This network shows the impact of papers produced by Latha Ramalingam. 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 Latha Ramalingam. The network helps show where Latha Ramalingam may publish in the future.
Co-authorship network of co-authors of Latha Ramalingam
This figure shows the co-authorship network connecting the top 25 collaborators of Latha Ramalingam. A scholar is included among the top collaborators of Latha Ramalingam 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 Latha Ramalingam. Latha Ramalingam 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 | 4 | |
| 4 | 30 | |
| 5 | 1 | |
| 6 | 14 | |
| 7 | 17 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | Opinion: In the wake of COVID-19, academia needs new solutions to ensure gender equity. | 18 |
| 11 | Obesity, adipocyte hypertrophy, fasting glucose, and resistin are potential contributors to nonalcoholic fatty liver disease in South Asian women | 2 |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 35 | |
| 15 | 5 | |
| 16 | 1 | |
| 17 | 1 | |
| 18 | 19 | |
| 19 | 41 | |
| 20 | 59 |
About Latha Ramalingam
Latha Ramalingam is a scholar working on Physiology, Nutrition and Dietetics and Epidemiology, having authored 105 papers that have together received 2.4k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (40 papers), Adipokines, Inflammation, and Metabolic Diseases (28 papers) and Fatty Acid Research and Health (26 papers). The work is most often cited by research in Physiology (720 citations), Nutrition and Dietetics (366 citations) and Orthodontics (103 citations). Latha Ramalingam has collaborated with scholars based in United States, Sri Lanka and Brazil. Frequent co-authors include Naïma Moustaïd‐Moussa, Nishan S. Kalupahana, Kalhara R. Menikdiwela, Jannette M. Dufour, Mandana Pahlavani, Kembra Albracht‐Schulte, Debbie C. Thurmond, Shane Scoggin, Shu Wang and Gurvinder Kaur. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and The Journal of Cell Biology.
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.