Rashmi Ray
Impact in
- Clinical Biochemistry top 1%
- Advanced Glycation End Products research
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Parkinson's Disease Mechanisms and Treatments
Papers in
-
- Sphingolipid Metabolism and Signaling 2
- Signaling Pathways in Disease 1
-
- Advanced Glycation End Products research 7
- Co-authors
- Vivek Rai (12 shared papers)Judyta K. Juranek (2 shared papers)Anju Katyal (1 shared paper)David Singer (1 shared paper)David S. Burz (1 shared paper)Jing Xue (1 shared paper)Ralf Hoffmann (1 shared paper)Alexander Shekhtman (1 shared paper)
- Journals
- Neuroscience & Biobehavioral Reviews (2 papers)Blood (1 paper)The EMBO Journal (1 paper)Biochimie (1 paper)Cell Death and Disease (1 paper)
- Partner nations
- IndiaUnited StatesPoland
In The Last Decade
Rashmi Ray
14 papers receiving 641 citations
Peers
Comparison fields: 5 of 95
- Clinical Biochemistry 272
- Neurology 92
- Biological Psychiatry 16
- Immunology 113
- Physiology 129
Countries citing papers authored by Rashmi Ray
This map shows the geographic impact of Rashmi Ray'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 Rashmi Ray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rashmi Ray more than expected).
Fields of papers citing papers by Rashmi Ray
This network shows the impact of papers produced by Rashmi Ray. 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 Rashmi Ray. The network helps show where Rashmi Ray may publish in the future.
Co-authors
The 25 scholars most cited alongside Rashmi Ray, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 137 | |
| 2 | 2015 | 118 | |
| 3 | 2016 | 93 | |
| 4 | 2017 | 86 | |
| 5 | 2015 | 59 | |
| 6 | 2020 | 53 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2021 | 14 | |
| 11 | 2020 | 14 | |
| 12 | 2015 | 13 | |
| 13 | 2018 | 3 | |
| 14 | Molecular Imaging of RAGE Expression in Human Glioblastoma | 2019 | 1 |
About Rashmi Ray
Rashmi Ray is a scholar working on Molecular Biology, Clinical Biochemistry, Immunology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 645 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (7 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Alzheimer's disease research and treatments (2 papers), Natural Antidiabetic Agents Studies (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Sphingolipid Metabolism and Signaling (2 papers), Signaling Pathways in Disease (1 paper) and Phagocytosis and Immune Regulation (1 paper). The work is most often cited by research in Clinical Biochemistry (272 citations), Neurology (92 citations), Biological Psychiatry (16 citations), Immunology (113 citations) and Physiology (129 citations). Rashmi Ray has collaborated with scholars based in India, United States and Poland. Frequent co-authors include Vivek Rai, Judyta K. Juranek, Anju Katyal, David Singer, David S. Burz, Jing Xue, Ralf Hoffmann, Alexander Shekhtman, Marta Banach and Satyendra Kumar Singh. Their work appears in journals such as Neuroscience & Biobehavioral Reviews, Blood, The EMBO Journal, Biochimie and Cell Death and Disease.
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.