Michael Höcker

5.6k citations
59 papers · 4.6k · 1 hit paper · h-index 29

Impact in

Papers in

Michael Höcker

57 papers receiving 4.4k citations

Michael Höcker's Hit Papers

Comprehensive analysis of kinase inhibitor selectivity 2011 · 1.9k citations
1.9k0+5+10Years since publication50010001.5k

Peers

Michael Höcker
Comparison fields: 5 of 118
  • Computational Theory and Mathematics 723
  • Molecular Biology 2.4k
  • Oncology 865
  • Cancer Research 385
  • Immunology 536
Replace Feng Xu with:
Feng Xu China
Donald Ogilvie United Kingdom
Manoj Kumar Kashyap United States
J M Wood Switzerland
Judith S. Sebolt–Leopold United States
Cornelia M. Wilson United Kingdom
Andree Blaukat Germany
Prathibha Ranganathan India
Amardeep S. Dhillon Australia
Michael Höcker relative to Feng Xu China Feng Xu's profile →
Citations per field
00.5×1.6×
Feng Xu · 1×
Citations per year

Countries citing papers authored by Michael Höcker

Since Specialization
Citations

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

Fields of papers citing papers by Michael Höcker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Comprehensive analysis of kinase inhibitor selectivity
Hit paper breakdown →
20111869
2 2003271
3 2005207
4 2003169
5 2001165
6 2000161
7
Transforming growth factor beta 1 stimulates vascular endothelial growth factor gene transcription in human cholangiocellular carcinoma cells.
2003147
8 2003110
9 2002106
10 199183
11 200380
12 200973
13 199772
14 200066
15 200363
16 199862
17 200961
18 199861
19 199861
20 199857

About Michael Höcker

Michael Höcker is a scholar working on Cellular and Molecular Neuroscience, Oncology, Surgery, Molecular Biology and Biochemistry, having authored 59 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (13 papers), Helicobacter pylori-related gastroenterology studies (11 papers), Peptidase Inhibition and Analysis (8 papers), Pancreatic function and diabetes (7 papers), Polyamine Metabolism and Applications (7 papers), Neuroendocrine Tumor Research Advances (7 papers), Diabetes Treatment and Management (5 papers) and Inflammatory mediators and NSAID effects (4 papers). The work is most often cited by research in Computational Theory and Mathematics (723 citations), Molecular Biology (2.4k citations), Oncology (865 citations), Cancer Research (385 citations) and Immunology (536 citations). Michael Höcker has collaborated with scholars based in Germany, United States and Sweden. Frequent co-authors include Mindy I. Davis, Lisa M. Wodicka, Gabriel Pallares, Jeremy P. Hunt, Daniel K. Treiber, Pietro Ciceri, Sanna Herrgård, Patrick P. Zarrinkar, Bertram Wiedenmann and Thorsten Cramer. Their work appears in journals such as Journal of Biological Chemistry, Regulatory Peptides, Gastroenterology, American Journal of Physiology-Gastrointestinal and Liver Physiology and Digestion.

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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