Rashmi Ray
Impact in
- Clinical Biochemistry top 1%
- Advanced Glycation End Products research
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Glycosylation and Glycoproteins Research 1
- Ubiquitin and proteasome pathways 1
- S100 Proteins and Annexins 1
-
- Advanced Glycation End Products research 6
- Co-authors
- Vivek Rai (12 shared papers)Judyta K. Juranek (2 shared papers)Anju Katyal (1 shared paper)Jing Xue (1 shared paper)Ralf Hoffmann (1 shared paper)David Singer (1 shared paper)David S. Burz (1 shared paper)Alexander Shekhtman (1 shared paper)
- Journals
- Neuroscience & Biobehavioral Reviews (2 papers)Reviews in the Neurosciences (1 paper)Biochimie (1 paper)Cell Reports (1 paper)Medical Oncology (1 paper)
- Partner nations
- IndiaUnited StatesPoland
In The Last Decade
Rashmi Ray
14 papers receiving 661 citations
Peers
Comparison fields: 5 of 93
- Clinical Biochemistry 262
- Neurology 88
- Biological Psychiatry 13
- Immunology 111
- Physiology 123
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 | 139 | |
| 2 | 2015 | 122 | |
| 3 | 2016 | 96 | |
| 4 | 2017 | 87 | |
| 5 | 2015 | 60 | |
| 6 | 2020 | 56 | |
| 7 | 2020 | 21 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 18 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 15 | |
| 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 Neurology, having authored 14 papers that have together received 665 indexed citations. Recurring topics across this work include Advanced Glycation End Products research (6 papers), Alzheimer's disease research and treatments (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Glycosylation and Glycoproteins Research (1 paper), Ubiquitin and proteasome pathways (1 paper), Amyotrophic Lateral Sclerosis Research (1 paper) and S100 Proteins and Annexins (1 paper). The work is most often cited by research in Clinical Biochemistry (262 citations), Neurology (88 citations), Biological Psychiatry (13 citations), Immunology (111 citations) and Physiology (123 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, Jing Xue, Ralf Hoffmann, David Singer, David S. Burz, Alexander Shekhtman, Marta Banach and Satyendra Kumar Singh. Their work appears in journals such as Neuroscience & Biobehavioral Reviews, Reviews in the Neurosciences, Biochimie, Cell Reports and Medical Oncology.
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.