Lalitha Subramanyam
- Co-authors
- Abhimanyu GargVinaya SimhaLidia S. SzczepaniakBeverley Adams‐HuetMaria Rosaria D’ApiceBenjamin D. LevineGiuseppe NovelliAnil K. Agarwal
- Topics
- Nuclear Structure and Function (6 papers)Tuberculosis Research and Epidemiology (3 papers)RNA Research and Splicing (3 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismObstetrics and GynecologyEuropean Journal of Endocrinology
- Partner nations
- IndiaUnited StatesMexico
In The Last Decade
Lalitha Subramanyam
17 papers receiving 341 citations
Peers
Comparison fields: 5 of 47
- Molecular Biology 258
- Genetics 50
- Surgery 44
- Infectious Diseases 42
- Physiology 36
Countries citing papers authored by Lalitha Subramanyam
This map shows the geographic impact of Lalitha Subramanyam'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 Lalitha Subramanyam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lalitha Subramanyam more than expected).
Fields of papers citing papers by Lalitha Subramanyam
This network shows the impact of papers produced by Lalitha Subramanyam. 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 Lalitha Subramanyam. The network helps show where Lalitha Subramanyam may publish in the future.
Co-authorship network of co-authors of Lalitha Subramanyam
This figure shows the co-authorship network connecting the top 25 collaborators of Lalitha Subramanyam. A scholar is included among the top collaborators of Lalitha Subramanyam 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 Lalitha Subramanyam. Lalitha Subramanyam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 18 | |
| 4 | 69 | |
| 5 | 51 | |
| 6 | 7 | |
| 7 | 45 | |
| 8 | 95 | |
| 9 | Spirometry in clinical practice. | 4 |
| 10 | Drug therapy of childhood asthma. | 4 |
| 11 | Arterial blood gas analysis in clinical practice. | 1 |
| 12 | Adult contacts in children with tuberculosis. | 12 |
| 13 | 2 | |
| 14 | Flexible fibreoptic bronchoscopy in 582 children--value of route, sedation and local anesthetic. | 9 |
| 15 | Tuberculous disease in a pediatric referral centre: 16 years experience. | 18 |
| 16 | Pulmonary cavitatory tuberculosis in children. | 5 |
| 17 | 3 |
About Lalitha Subramanyam
Lalitha Subramanyam is a scholar working on Anesthesiology and Pain Medicine, Infectious Diseases and Speech and Hearing, having authored 17 papers that have together received 348 indexed citations. Recurring topics across this work include Nuclear Structure and Function (6 papers), Tuberculosis Research and Epidemiology (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Molecular Biology (258 citations), Infectious Diseases (42 citations) and Endocrine and Autonomic Systems (14 citations). Lalitha Subramanyam has collaborated with scholars based in India, United States and Mexico. Frequent co-authors include Abhimanyu Garg, Vinaya Simha, Lidia S. Szczepaniak, Beverley Adams‐Huet, Maria Rosaria D’Apice, Benjamin D. Levine, Giuseppe Novelli, Anil K. Agarwal, Yanick J. Crow and Claudia Quittner. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Obstetrics and Gynecology and European Journal of Endocrinology.
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.