H. Schäfer

444 papers receiving 13.8k citations

Peers

H. Schäfer
Comparison fields: 5 of 199
  • Endocrine and Autonomic Systems 835
  • Cancer Research 1.4k
  • Oncology 2.0k
  • Immunology 1.5k
  • Statistics and Probability 558
Replace Robert C. Thompson with:
Robert C. Thompson United States
David Rodbard United States
David J. Gordon United States
Joseph Loscalzo United States
David A. Young United Kingdom
William G. Richards United States
Peter J. Munson United States
Michael McDermott United States
Ian M. Thompson United States
Jeffrey M. Drazen United States
H. Schäfer relative to Robert C. Thompson United States Robert C. Thompson's profile →
Citations per field
00.5×
Robert C. Thompson · 1×
Citations per year

Countries citing papers authored by H. Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by H. Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 462 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003416
2 2007385
3 2012276
4 1996274
5 2008269
6 2001261
7 2004218
8 2014218
9 1986207
10 2009205
11 2001196
12 1956174
13 2007171
14 2003168
15 2007162
16 2000160
17 2004159
18 2010149
19 2006147
20
Autocrine production of interleukin 1beta confers constitutive nuclear factor kappaB activity and chemoresistance in pancreatic carcinoma cell lines.
2002144

About H. Schäfer

H. Schäfer is a scholar working on Molecular Biology, Oncology, Surgery, Materials Chemistry and Inorganic Chemistry, having authored 462 papers that have together received 14.3k indexed citations. Recurring topics across this work include Inorganic Chemistry and Materials (25 papers), NF-κB Signaling Pathways (23 papers), Pancreatic and Hepatic Oncology Research (22 papers), Organometallic Complex Synthesis and Catalysis (16 papers), Statistical Methods in Clinical Trials (16 papers), Optimal Experimental Design Methods (14 papers), Neuropeptides and Animal Physiology (14 papers) and Cell death mechanisms and regulation (13 papers). The work is most often cited by research in Endocrine and Autonomic Systems (835 citations), Cancer Research (1.4k citations), Oncology (2.0k citations), Immunology (1.5k citations) and Statistics and Probability (558 citations). H. Schäfer has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Alexander Arlt, Ulrich R. Fölsch, Hans‐Helge Müller, Susanne Sebens Müerköster, Susanne Sebens, Johannes Hebebrand, Anke Hinney, Wolfgang E. Schmidt, Holger Kalthoff and Marie‐Luise Kruse. Their work appears in journals such as Oncogene, Statistics in Medicine, Tetrahedron Letters, The Journal of Clinical Endocrinology & Metabolism and OncoImmunology.

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.

Explore authors with similar magnitude of impact