Carl M. Mendel
- Infectious Diseases top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Epidemiology top 2%
- Molecular Biology top 10%
- Surgery top 2%
- Co-authors
- Ralph R. CavalieriAngela M. CrookDaniel E. EverittMelvin SpigelmanTimothy D. McHughChristo van NiekerkRichard A. WeisigerRodney Dawson
- Topics
- Tuberculosis Research and Epidemiology (23 papers)Mycobacterium research and diagnosis (12 papers)Hormonal and reproductive studies (12 papers)
- Partner nations
- United StatesSouth AfricaUnited Kingdom
In The Last Decade
Carl M. Mendel
80 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Infectious Diseases 1.9k
- Endocrinology, Diabetes and Metabolism 1.5k
- Epidemiology 1.5k
- Molecular Biology 1.2k
- Surgery 1.2k
Countries citing papers authored by Carl M. Mendel
This map shows the geographic impact of Carl M. Mendel'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 Carl M. Mendel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carl M. Mendel more than expected).
Fields of papers citing papers by Carl M. Mendel
This network shows the impact of papers produced by Carl M. Mendel. 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 Carl M. Mendel. The network helps show where Carl M. Mendel may publish in the future.
Co-authorship network of co-authors of Carl M. Mendel
This figure shows the co-authorship network connecting the top 25 collaborators of Carl M. Mendel. A scholar is included among the top collaborators of Carl M. Mendel 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 Carl M. Mendel. Carl M. Mendel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 50 | |
| 3 | 27 | |
| 4 | 8 | |
| 5 | 165 | |
| 6 | 184 | |
| 7 | Four-Month Moxifloxacin-Based Regimens for Drug-Sensitive Tuberculosisbreakdown → | 401 |
| 8 | 43 | |
| 9 | 71 | |
| 10 | 282 | |
| 11 | 37 | |
| 12 | 71 | |
| 13 | 165 | |
| 14 | 92 | |
| 15 | 32 | |
| 16 | 6 | |
| 17 | 29 | |
| 18 | 21 | |
| 19 | The Free Hormone Hypothesis: A Physiologically Based Mathematical Model*breakdown → | 777 |
| 20 | 3 |
About Carl M. Mendel
Carl M. Mendel is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases and Behavioral Neuroscience, having authored 83 papers that have together received 5.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (23 papers), Mycobacterium research and diagnosis (12 papers) and Hormonal and reproductive studies (12 papers). The work is most often cited by research in Infectious Diseases (1.9k citations), Endocrinology, Diabetes and Metabolism (1.5k citations) and Pharmacology (895 citations). Carl M. Mendel has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Ralph R. Cavalieri, Angela M. Crook, Daniel E. Everitt, Melvin Spigelman, Timothy D. McHugh, Christo van Niekerk, Richard A. Weisiger, Rodney Dawson, Andreas H. Diacon and S T Kunitake. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.