Hans Wacker

55 papers receiving 5.7k citations

Hans Wacker's Hit Papers

Cell cycle analysis of a cell proliferation-associated human nuclear antigen defined by the monoclonal antibody Ki-67. 1984 · 3.7k citations
3.7k0+14+28Years since publication10002.0k3.0k

Peers

Hans Wacker
Comparison fields: 5 of 138
  • Oncology 1.2k
  • Cancer Research 560
  • Pathology and Forensic Medicine 658
  • Immunology 741
  • Genetics 878
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Christos Kittas Greece
Hiroshi Nagura Japan
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Citations per field
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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-authors

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

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cell cycle analysis of a cell proliferation-associated human nuclear antigen defined by the monoclonal antibody Ki-67.
Hit paper breakdown →
19843690
2 1996244
3 1988230
4 1979145
5
Detection of a monocyte/macrophage differentiation antigen in routinely processed paraffin-embedded tissues by monoclonal antibody Ki-M1P.
1991136
6 1980121
7 198297
8 197896
9 199795
10 199684
11 196177
12
A new proliferation-associated nuclear antigen detectable in paraffin-embedded tissues by the monoclonal antibody Ki-S1.
199369
13
Determination of the growth fraction in non-Hodgkin's lymphomas by monoclonal antibody Ki-S5 directed against a formalin-resistant epitope of the Ki-67 antigen.
199368
14 199265
15 199061
16 196456
17 197143
18 198143
19 198340
20 197635

About Hans Wacker

Hans Wacker is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Pathology and Forensic Medicine, having authored 58 papers that have together received 6.0k indexed citations. Recurring topics across this work include Digestive system and related health (14 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 Bone and Dental Protein Studies (4 papers). The work is most often cited by research in Oncology (1.2k citations), Cancer Research (560 citations), Pathology and Forensic Medicine (658 citations), Immunology (741 citations) and Genetics (878 citations). Hans Wacker has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Harald Stein, Johannes Gerdes, Ulrich Schwab, H. Baisch, Hilmar Lemke, Giorgio Semenza, H J Heidebrecht, Reza Parwaresch, Friedrich Buck and H. J. Radzun. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, Blood, Novartis Foundation symposium and Current topics in pathology.

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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