Marcus Schindler

1.4k citations
28 papers · 1.1k · h-index 19

Impact in

Papers in

Marcus Schindler

28 papers receiving 1.1k citations

Peers

Marcus Schindler
Comparison fields: 5 of 78
  • Endocrine and Autonomic Systems 133
  • Cellular and Molecular Neuroscience 322
  • Gastroenterology 70
  • Endocrinology, Diabetes and Metabolism 212
  • Epidemiology 302
Replace S. Gatti with:
S. Gatti Italy
Marie K. Holt United Kingdom
Michael R. DiGruccio United States
Oksana Dmytriyeva Denmark
Alain Cadieux Canada
Iain R. Tough United Kingdom
Shanti Diwakarla Australia
Alice E. Adriaenssens United Kingdom
Paul Richards United Kingdom
Kurt A. Krobert Norway
Marcus Schindler relative to S. Gatti Italy S. Gatti's profile →
Citations per field
00.5×4.3×
S. Gatti · 1×
Citations per year

Countries citing papers authored by Marcus Schindler

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Schindler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012198
2 1996134
3 200194
4 200285
5 200075
6 200552
7 200249
8 200149
9 199847
10 199843
11 200042
12 200234
13 200130
14 199829
15 200021
16 199521
17 201021
18 199920
19 201718
20 199818

About Marcus Schindler

Marcus Schindler is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Epidemiology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 28 papers that have together received 1.1k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Neuroendocrine Tumor Research Advances (10 papers), Neuropeptides and Animal Physiology (8 papers), Neuroscience and Neuropharmacology Research (3 papers), Diabetes Treatment and Management (3 papers), Estrogen and related hormone effects (3 papers), Axon Guidance and Neuronal Signaling (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (133 citations), Cellular and Molecular Neuroscience (322 citations), Gastroenterology (70 citations), Endocrinology, Diabetes and Metabolism (212 citations) and Epidemiology (302 citations). Marcus Schindler has collaborated with scholars based in United Kingdom, Germany and Japan. Frequent co-authors include P.P.A. Humphrey, Piers C. Emson, Oliver J. Mace, Henri Doods, Mauro Papotti, Inger-Sofie Selmer, Jeremy P. Allen, Stephen G. Howitt, Debbie L. Hay and David R. Poyner. Their work appears in journals such as British Journal of Pharmacology, Bioorganic & Medicinal Chemistry Letters, Endocrine Pathology, Brain Research and Regulatory Peptides.

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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