H. Schäfer

24.3k total citations
464 papers, 14.3k citations indexed

About

H. Schäfer is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, H. Schäfer has authored 464 papers receiving a total of 14.3k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Molecular Biology, 64 papers in Oncology and 52 papers in Surgery. Recurrent topics in H. Schäfer's work include Pancreatic and Hepatic Oncology Research (26 papers), Inorganic Chemistry and Materials (25 papers) and NF-κB Signaling Pathways (24 papers). H. Schäfer is often cited by papers focused on Pancreatic and Hepatic Oncology Research (26 papers), Inorganic Chemistry and Materials (25 papers) and NF-κB Signaling Pathways (24 papers). H. Schäfer collaborates with scholars based in Germany, United States and France. H. Schäfer's 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 André Scherag and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

H. Schäfer

443 papers receiving 13.8k citations

Peers

H. Schäfer
Comparison fields: 5 of 201
  • Molecular Biology 4.9k
  • Oncology 2.4k
  • Immunology 1.6k
  • Cancer Research 1.6k
  • Genetics 1.4k
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Citations per field, relative to H. Schäfer
H. Schäfer · 1×
Citations per year, relative to H. Schäfer
H. Schäfer · 1×

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-authorship network of co-authors of H. Schäfer

This figure shows the co-authorship network connecting the top 25 collaborators of H. Schäfer. A scholar is included among the top collaborators of H. Schäfer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with H. Schäfer. H. Schäfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 18
3 9
4 55
5 85
6
P119-M Combined Analysis of Urine Samples using NMR and LC/MS
1
7 104
8
[German acupuncture studies].
2
9 26
10 1
11 1
12
Drug addiction therapy. A dance to the music of time.
2
13
Recommendations for conducting simulation calculations for the registration procedure
4
14 274
15
SPRUCOM—a simulation model of spruce stand dynamics under varying immission exposure
8
16
Dynamik des Waldsterbens : Mathematisches Modell und Computersimulation
3
17
DPCM coding of the chrominance signals for the transmission of colour TV signals at 34 Mbits/s
1
18
[Cellular calcium and cell function. Cytochemical, ultrastructural and X-ray microanalytical studies (author's transl)].
4
19
The problem of diabetic angiolopathy in sand rats (Psammomys obesus).
1
20 8

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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