M C Appel
Impact in
- Genetics top 2%
- Diabetes and associated disorders
-
- Diabetes Management and Research
- Diet, Metabolism, and Disease
Papers in
- Co-authors
- Linda S. Wicker (3 shared papers)B J Miller (3 shared papers)A A Rossini (4 shared papers)A A Like (3 shared papers)William L. Chick (2 shared papers)George F. Cahill (1 shared paper)Dale L. Greiner (3 shared papers)Lisa Coker (1 shared paper)
- Journals
- Diabetologia (3 papers)The Journal of Experimental Medicine (2 papers)The Journal of Immunology (2 papers)Endocrinology (1 paper)Advances in experimental medicine and biology (1 paper)
- Partner nations
- United StatesItalyIreland
In The Last Decade
M C Appel
20 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 89
- Genetics 915
- Endocrinology, Diabetes and Metabolism 522
- Immunology 536
- Surgery 675
- Physiology 135
Countries citing papers authored by M C Appel
This map shows the geographic impact of M C Appel'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 M C Appel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M C Appel more than expected).
Fields of papers citing papers by M C Appel
This network shows the impact of papers produced by M C Appel. 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 M C Appel. The network helps show where M C Appel may publish in the future.
Co-authors
The 25 scholars most cited alongside M C Appel, 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 | 1988 | 379 | |
| 2 | 1977 | 211 | |
| 3 | 1987 | 185 | |
| 4 | 1992 | 153 | |
| 5 | Improved engraftment of human spleen cells in NOD/LtSz-scid/scid mice as compared with C.B-17-scid/scid mice. | 1995 | 136 |
| 6 | 1983 | 114 | |
| 7 | 1991 | 58 | |
| 8 | 1992 | 42 | |
| 9 | 1986 | 37 | |
| 10 | 1978 | 33 | |
| 11 | 1984 | 22 | |
| 12 | 1981 | 19 | |
| 13 | Ontogeny and immunohistochemical localization of thymus-dependent and thymus-independent RT6+ cells in the rat. | 1996 | 17 |
| 14 | 1988 | 16 | |
| 15 | 1993 | 16 | |
| 16 | 1989 | 16 | |
| 17 | 1979 | 12 | |
| 18 | 1986 | 12 | |
| 19 | 2007 | 8 | |
| 20 | 1990 | 2 |
About M C Appel
M C Appel is a scholar working on Surgery, Genetics, Endocrinology, Diabetes and Metabolism, Immunology and Molecular Biology, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (12 papers), Diabetes Management and Research (5 papers), Metabolism, Diabetes, and Cancer (3 papers), Immune Cell Function and Interaction (3 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (2 papers), T-cell and B-cell Immunology (2 papers) and Atherosclerosis and Cardiovascular Diseases (1 paper). The work is most often cited by research in Genetics (915 citations), Endocrinology, Diabetes and Metabolism (522 citations), Immunology (536 citations), Surgery (675 citations) and Physiology (135 citations). M C Appel has collaborated with scholars based in United States, Italy and Ireland. Frequent co-authors include Linda S. Wicker, B J Miller, A A Rossini, A A Like, William L. Chick, George F. Cahill, Dale L. Greiner, Lisa Coker, Sam N. Scott and Y Mullen. Their work appears in journals such as Diabetologia, The Journal of Experimental Medicine, The Journal of Immunology, Endocrinology and Advances in experimental medicine and biology.
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.