Amit Singh
Impact in
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- Mesenchymal stem cell research
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- Bone health and treatments
- Lymphatic System and Diseases
Papers in
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- Molecular Biology Techniques and Applications 2
- 14-3-3 protein interactions 2
- Single-cell and spatial transcriptomics 1
- Genetics 2
- Mesenchymal stem cell research 2
- Co-authors
- Anjali P. Kusumbe (6 shared papers)Saravana K. Ramasamy (5 shared papers)Sara Romeo (2 shared papers)Julia Rodrigues (2 shared papers)Junyu Chen (3 shared papers)Khadija M. Alawi (1 shared paper)Jessica De Angelis (2 shared papers)Bin Zhou (1 shared paper)
- Journals
- Nature Cell Biology (2 papers)PLoS Computational Biology (1 paper)Frontiers in Genetics (1 paper)Bioinformatics (1 paper)Science Advances (1 paper)
- Partner nations
- GermanyUnited KingdomChina
In The Last Decade
Amit Singh
14 papers receiving 707 citations
Amit Singh's Hit Papers
Peers
Comparison fields: 5 of 86
- Genetics 73
- Oncology 180
- Orthopedics and Sports Medicine 55
- Cancer Research 89
- Rheumatology 79
Countries citing papers authored by Amit Singh
This map shows the geographic impact of Amit Singh'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 Amit Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Singh more than expected).
Fields of papers citing papers by Amit Singh
This network shows the impact of papers produced by Amit Singh. 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 Amit Singh. The network helps show where Amit Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Singh, 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 | 2017 | 190 | |
| 2 | 2019 | 144 | |
| 3 | Lymphatic vessels in bone support regeneration after injury Hit paper breakdown → | 2023 | 133 |
| 4 | 2021 | 76 | |
| 5 | 2019 | 67 | |
| 6 | 2012 | 39 | |
| 7 | 2016 | 22 | |
| 8 | 2022 | 11 | |
| 9 | 2011 | 8 | |
| 10 | 2021 | 6 | |
| 11 | 2024 | 6 | |
| 12 | 2022 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2024 | 2 |
About Amit Singh
Amit Singh is a scholar working on Molecular Biology, Genetics, Endocrine and Autonomic Systems, Oncology and Cell Biology, having authored 14 papers that have together received 709 indexed citations. Recurring topics across this work include Mesenchymal stem cell research (2 papers), Molecular Biology Techniques and Applications (2 papers), Circadian rhythm and melatonin (2 papers), Biomarkers in Disease Mechanisms (2 papers), 14-3-3 protein interactions (2 papers), Single-cell and spatial transcriptomics (1 paper), Lymphatic System and Diseases (1 paper) and Osteoarthritis Treatment and Mechanisms (1 paper). The work is most often cited by research in Genetics (73 citations), Oncology (180 citations), Orthopedics and Sports Medicine (55 citations), Cancer Research (89 citations) and Rheumatology (79 citations). Amit Singh has collaborated with scholars based in Germany, United Kingdom and China. Frequent co-authors include Anjali P. Kusumbe, Saravana K. Ramasamy, Sara Romeo, Julia Rodrigues, Junyu Chen, Khadija M. Alawi, Jessica De Angelis, Bin Zhou, Lydia Sorokin and Rocio Enriquez-Gasca. Their work appears in journals such as Nature Cell Biology, PLoS Computational Biology, Frontiers in Genetics, Bioinformatics and Science Advances.
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.