Hans Wacker

7.0k citations
55 papers · 5.7k indexed · 1 hit paper · h-index 26

Hans Wacker

55 papers receiving 5.5k citations

Hit Papers

Cell cycle analysis of a cell proliferation-associated hu...3.6k198420261998201210002.0k3.0k

Peers

Hans Wacker
Comparison fields: 5 of 134
  • Oncology 1.4k
  • Cancer Research 673
  • Pathology and Forensic Medicine 778
  • Immunology 792
  • Genetics 874
Replace Su-Ming Hsu with:
Su-Ming Hsu United States
Christos Kittas Greece
Lloyd E. King United States
Hiroshi Nagura Japan
Nigel K. Spurr United Kingdom
Marta M. Lipinski United States
Yvan de Launoit France
Linda F. Thompson United States
Luis Del Valle United States
Jeffrey Lee United States
Hans Wacker relative to Su-Ming Hsu United States Su-Ming Hsu's profile →
Citations per field
00.5×2.6×
Su-Ming Hsu · 1×
Citations per year

Countries citing papers authored by Hans Wacker

Since Specialization
Citations

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

Fields of papers citing papers by Hans Wacker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200723
2 20066
3 200121
4 19979
5 19964
6 199680
7 199525
8 19949
9 199226
10 199230
11 19902
12 19903
13 199055
14 198812
15
Monocyte macrophage heterogeneity as shown by monoclonal antibodies and monocyte macrophage hybrids
19851
16 19838
17 198291
18 198226
19 19702
20 19678

About Hans Wacker

Hans Wacker is a scholar working on Biochemistry, Immunology, Genetics, Pathology and Forensic Medicine and Immunology and Allergy, having authored 55 papers that have together received 5.7k indexed citations. Recurring topics across this work include Digestive system and related health (13 papers), Peptidase Inhibition and Analysis (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Immunotherapy and Immune Responses (6 papers), Amino Acid Enzymes and Metabolism (5 papers), T-cell and B-cell Immunology (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Oncology (1.4k citations), Cancer Research (673 citations), Pathology and Forensic Medicine (778 citations), Immunology (792 citations) and Genetics (874 citations). Hans Wacker has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Johannes Gerdes, Harald Stein, H. Baisch, Ulrich Schwab, Hilmar Lemke, Giorgio Semenza, H J Heidebrecht, Reza Parwaresch, Friedrich Buck and H. Häuser. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Novartis Foundation symposium, Current topics in pathology and Blood.

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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