M C Appel

1.8k citations
20 papers · 1.5k indexed · h-index 16

Impact in

Papers in

M C Appel

20 papers receiving 1.4k citations

Peers

M C Appel
Comparison fields: 5 of 89
  • Genetics 915
  • Endocrinology, Diabetes and Metabolism 522
  • Immunology 536
  • Surgery 675
  • Physiology 135
Replace A A Like with:
A A Like United States
David G. Alleva United States
Máikel L. Colli Belgium
Marcia Meseck United States
Fabio Arturo Grieco Italy
Brett E. Phillips United States
Marcia F. McInerney United States
Z Yang United States
Richard van Veghel Netherlands
Greta J. Sawyer United Kingdom
M C Appel relative to A A Like United States A A Like's profile →
Citations per field
00.5×1.5×2.1×
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-authorship network

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 20078
2
Ontogeny and immunohistochemical localization of thymus-dependent and thymus-independent RT6+ cells in the rat.
199617
3
Improved engraftment of human spleen cells in NOD/LtSz-scid/scid mice as compared with C.B-17-scid/scid mice.
1995136
4 199316
5 1992153
6 199242
7 199158
8 19902
9 198916
10 1988379
11 198816
12 1987185
13 198612
14 198637
15 198422
16 1983114
17 198119
18 197912
19 197833
20 1977211

About M C Appel

M C Appel is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics, Surgery, Immunology and Urology, 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), Immune Cell Function and Interaction (3 papers), Metabolism, Diabetes, and Cancer (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 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.

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