Neha Garg
- Physiology
- Surgery
- Molecular Biology
- Endocrine and Autonomic Systems top 10%
- Anesthesiology and Pain Medicine top 10%
- Co-authors
- Martin L. AdamoSachin ThakurC. Alex McMahanNicholas DourisBeata Lecka‐CzernikCheryl L. Ackert‐BicknellShihoko KojimaClifford J. Rosen
- Topics
- Anesthesia and Sedative Agents (5 papers)Anesthesia and Pain Management (4 papers)Organ Transplantation Techniques and Outcomes (4 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- IndiaUnited StatesSaudi Arabia
In The Last Decade
Neha Garg
22 papers receiving 343 citations
Peers
Comparison fields: 5 of 85
- Physiology 123
- Surgery 84
- Molecular Biology 81
- Endocrine and Autonomic Systems 68
- Anesthesiology and Pain Medicine 48
Countries citing papers authored by Neha Garg
This map shows the geographic impact of Neha Garg'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 Neha Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neha Garg more than expected).
Fields of papers citing papers by Neha Garg
This network shows the impact of papers produced by Neha Garg. 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 Neha Garg. The network helps show where Neha Garg may publish in the future.
Co-authorship network of co-authors of Neha Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Neha Garg. A scholar is included among the top collaborators of Neha Garg 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 Neha Garg. Neha Garg 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 | 11 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 4 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | Variation of Dielectric Properties & A.C. Conductivity with frequency and composition for Stannous Chloride _ PMMA Composite Films | 1 |
| 13 | 5 | |
| 14 | 57 | |
| 15 | 0 | |
| 16 | 40 | |
| 17 | 5 | |
| 18 | 48 | |
| 19 | 126 | |
| 20 | TREATMENT OF IDIOPATHIC CLUBFOOT USING THE PONSETI METHOD. | 9 |
About Neha Garg
Neha Garg is a scholar working on Health Informatics, Anesthesiology and Pain Medicine and Hepatology, having authored 25 papers that have together received 348 indexed citations. Recurring topics across this work include Anesthesia and Sedative Agents (5 papers), Anesthesia and Pain Management (4 papers) and Organ Transplantation Techniques and Outcomes (4 papers). The work is most often cited by research in Health Informatics (18 citations), Aging (21 citations) and Endocrine and Autonomic Systems (68 citations). Neha Garg has collaborated with scholars based in India, United States and Saudi Arabia. Frequent co-authors include Martin L. Adamo, Sachin Thakur, C. Alex McMahan, Nicholas Douris, Beata Lecka‐Czernik, Cheryl L. Ackert‐Bicknell, Shihoko Kojima, Clifford J. Rosen, David R. Clemmons and Masanobu Kawai. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.