Sreeraj Macha
- Endocrinology, Diabetes and Metabolism top 1%
- Surgery top 5%
- Molecular Biology
- Epidemiology
- Pharmacology top 10%
- Co-authors
- Hans J. WoerleSabine PinnettiUli C. BroedlMichaela MattheusLeo SemanTim HeiseAshim K. MitraStefan Hantel
- Topics
- Diabetes Treatment and Management (28 papers)Pancreatic function and diabetes (15 papers)Metabolism, Diabetes, and Cancer (12 papers)
- Journals
- Clinical Pharmacology & TherapeuticsBritish Journal of Clinical PharmacologyDrug Metabolism and Disposition
- Partner nations
- United StatesGermanyFrance
In The Last Decade
Sreeraj Macha
51 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 91
- Endocrinology, Diabetes and Metabolism 1.1k
- Surgery 767
- Molecular Biology 648
- Epidemiology 235
- Pharmacology 159
Countries citing papers authored by Sreeraj Macha
This map shows the geographic impact of Sreeraj Macha'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 Sreeraj Macha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sreeraj Macha more than expected).
Fields of papers citing papers by Sreeraj Macha
This network shows the impact of papers produced by Sreeraj Macha. 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 Sreeraj Macha. The network helps show where Sreeraj Macha may publish in the future.
Co-authorship network of co-authors of Sreeraj Macha
This figure shows the co-authorship network connecting the top 25 collaborators of Sreeraj Macha. A scholar is included among the top collaborators of Sreeraj Macha 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 Sreeraj Macha. Sreeraj Macha 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 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 35 | |
| 6 | 18 | |
| 7 | 21 | |
| 8 | 27 | |
| 9 | 24 | |
| 10 | 111 | |
| 11 | 20 | |
| 12 | 25 | |
| 13 | 25 | |
| 14 | 30 | |
| 15 | 51 | |
| 16 | 22 | |
| 17 | Vijjana: A Pragmatic Model for Collaborative, Self-organizing, Domain Centric Knowledge Networks. | 4 |
| 18 | 13 | |
| 19 | 38 | |
| 20 | 41 |
About Sreeraj Macha
Sreeraj Macha is a scholar working on Endocrinology, Diabetes and Metabolism, Transplantation and Epidemiology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (28 papers), Pancreatic function and diabetes (15 papers) and Metabolism, Diabetes, and Cancer (12 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.1k citations), Surgery (767 citations) and Nephrology (109 citations). Sreeraj Macha has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Hans J. Woerle, Sabine Pinnetti, Uli C. Broedl, Michaela Mattheus, Leo Seman, Tim Heise, Ashim K. Mitra, Stefan Hantel, Elke Seewaldt-Becker and Klaus A. Dugi. Their work appears in journals such as Clinical Pharmacology & Therapeutics, British Journal of Clinical Pharmacology and Drug Metabolism and Disposition.
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.