M C Appel

1.8k citations
20 papers · 1.6k · h-index 16

Impact in

Papers in

    • Pancreatic function and diabetes 14
    • Diabetes and associated disorders 12

M C Appel

20 papers receiving 1.5k citations

Peers

M C Appel
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 535
  • Genetics 947
  • Immunology 537
  • Surgery 711
  • Physiology 134
Replace A A Like with:
A A Like United States
Harold D. Chapman United States
Máikel L. Colli Belgium
Eugene S. Handler United States
Marcia Meseck United States
David G. Alleva United States
Daniel Brandhorst Germany
Fabio Arturo Grieco Italy
Marcia F. McInerney United States
Sam Chun United States
M C Appel relative to A A Like United States A A Like's profile →
Citations per field
00.5×1.7×
A A Like · 1×
Citations per year

Countries citing papers authored by M C Appel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with M C Appel Line = papers co-authored together M C Appel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 1988404
2 1977226
3 1987200
4 1992158
5
Improved engraftment of human spleen cells in NOD/LtSz-scid/scid mice as compared with C.B-17-scid/scid mice.
1995142
6 1983118
7 199159
8 199251
9 197841
10 198639
11 198423
12 198119
13 198818
14
Ontogeny and immunohistochemical localization of thymus-dependent and thymus-independent RT6+ cells in the rat.
199618
15 199317
16 198916
17 198614
18 197912
19 20079
20 19902

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 1.6k 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 Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (535 citations), Genetics (947 citations), Immunology (537 citations), Surgery (711 citations) and Physiology (134 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, Y Mullen, Lisa Coker and Sam N. Scott. Their work appears in journals such as Diabetologia, The Journal of Immunology, The Journal of Experimental Medicine, Advances in experimental medicine and biology and Immunopharmacology.

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.

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