Michael Appel

56 papers receiving 3.8k citations

Michael Appel's Hit Papers

Subtype-Specific Alterations of γ-Aminobutyric Acid and Glutamatein Patients With Major Depression 2004 · 651 citations
6510+8+17Years since publication200400600

Peers

Michael Appel
Comparison fields: 5 of 129
  • Biological Psychiatry 233
  • Endocrinology, Diabetes and Metabolism 738
  • Immunology 806
  • Genetics 947
  • Behavioral Neuroscience 117
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Countries citing papers authored by Michael Appel

Since Specialization
Citations

This map shows the geographic impact of Michael 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 Michael Appel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Appel more than expected).

Fields of papers citing papers by Michael Appel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael 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 Michael Appel. The network helps show where Michael Appel may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael 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 Michael Appel Line = papers co-authored together Michael Appel links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chk2/hCds1 functions as a DNA damage checkpoint in G1by stabilizing p53
Hit paper breakdown →
2000652
2
Subtype-Specific Alterations of γ-Aminobutyric Acid and Glutamatein Patients With Major Depression
Hit paper breakdown →
2004651
3 2003373
4 1995349
5 1986169
6 1979168
7 1977135
8
Streptozotocin-induced pancreatic insulitis in mice. Morphologic and physiologic studies.
1978100
9 198297
10 197894
11 200487
12 198686
13 197884
14 199167
15 199066
16 198258
17 197955
18 200353
19 200850
20 200346

About Michael Appel

Michael Appel is a scholar working on Genetics, Surgery, Endocrinology, Diabetes and Metabolism, Molecular Biology and Immunology, having authored 58 papers that have together received 4.0k indexed citations. Recurring topics across this work include Diabetes and associated disorders (22 papers), Pancreatic function and diabetes (19 papers), Diabetes Management and Research (7 papers), T-cell and B-cell Immunology (7 papers), Thyroid Disorders and Treatments (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Immunotherapy and Immune Responses (3 papers) and Microtubule and mitosis dynamics (2 papers). The work is most often cited by research in Biological Psychiatry (233 citations), Endocrinology, Diabetes and Metabolism (738 citations), Immunology (806 citations), Genetics (947 citations) and Behavioral Neuroscience (117 citations). Michael Appel has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Aldo A. Rossini, A. A. Like, Thanos D. Halazonetis, Nabil Chehab, Asra Malikzay, Douglas L. Rothman, Ralitza Gueorguieva, Graeme F. Mason, John H. Krystal and Lewis E. Braverman. Their work appears in journals such as Endocrinology, Diabetes, Transplantation, Proceedings of the National Academy of Sciences and European Journal of Endocrinology.

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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