Nitya Nand Pathak
- Rehabilitation top 1%
- Molecular Biology
- Biomaterials top 10%
- Molecular Medicine top 2%
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Surendra K. TandanVinay KantDinesh KumarAnu GopalPawan KumarDhirendra KumarVenkanna BalaganurMahendra Ram
- Topics
- Pain Mechanisms and Treatments (6 papers)Wound Healing and Treatments (5 papers)Natural product bioactivities and synthesis (5 papers)
- Journals
- Journal of the Science of Food and AgriculturePharmacology Biochemistry and BehaviorPhytotherapy Research
- Partner nations
- India
In The Last Decade
Nitya Nand Pathak
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Rehabilitation 401
- Molecular Biology 268
- Biomaterials 180
- Molecular Medicine 179
- Endocrinology, Diabetes and Metabolism 136
Countries citing papers authored by Nitya Nand Pathak
This map shows the geographic impact of Nitya Nand Pathak'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 Nitya Nand Pathak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitya Nand Pathak more than expected).
Fields of papers citing papers by Nitya Nand Pathak
This network shows the impact of papers produced by Nitya Nand Pathak. 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 Nitya Nand Pathak. The network helps show where Nitya Nand Pathak may publish in the future.
Co-authorship network of co-authors of Nitya Nand Pathak
This figure shows the co-authorship network connecting the top 25 collaborators of Nitya Nand Pathak. A scholar is included among the top collaborators of Nitya Nand Pathak 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 Nitya Nand Pathak. Nitya Nand Pathak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 41 | |
| 2 | 62 | |
| 3 | 20 | |
| 4 | 43 | |
| 5 | Protective effect of alcoholic extract of stem of Entada pursaetha in dextran sulphate sodium-induced colitis in mice. | 2 |
| 6 | 20 | |
| 7 | 49 | |
| 8 | 22 | |
| 9 | 300 | |
| 10 | 38 | |
| 11 | 17 | |
| 12 | 171 | |
| 13 | 29 | |
| 14 | 118 | |
| 15 | 37 | |
| 16 | 34 | |
| 17 | 21 | |
| 18 | 37 | |
| 19 | 1 | |
| 20 | 11 |
About Nitya Nand Pathak
Nitya Nand Pathak is a scholar working on Rehabilitation, Biochemistry and Physiology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (6 papers), Wound Healing and Treatments (5 papers) and Natural product bioactivities and synthesis (5 papers). The work is most often cited by research in Rehabilitation (401 citations), Molecular Medicine (179 citations) and Biomaterials (180 citations). Nitya Nand Pathak has collaborated with scholars based in India. Frequent co-authors include Surendra K. Tandan, Vinay Kant, Dinesh Kumar, Anu Gopal, Pawan Kumar, Dhirendra Kumar, Venkanna Balaganur, Mahendra Ram, Madhu C. Lingaraju and Babu Lal Jangir. Their work appears in journals such as Journal of the Science of Food and Agriculture, Pharmacology Biochemistry and Behavior and Phytotherapy Research.
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.