Hans Binz

8.8k total citations · 2 hit papers
127 papers, 6.8k citations indexed

About

Hans Binz is a scholar working on Immunology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hans Binz has authored 127 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Immunology, 58 papers in Molecular Biology and 50 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hans Binz's work include Monoclonal and Polyclonal Antibodies Research (47 papers), T-cell and B-cell Immunology (36 papers) and Immune Cell Function and Interaction (21 papers). Hans Binz is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (47 papers), T-cell and B-cell Immunology (36 papers) and Immune Cell Function and Interaction (21 papers). Hans Binz collaborates with scholars based in Switzerland, Sweden and France. Hans Binz's co-authors include Hans Wigzell, Andreas Plückthun, Patrick Amstutz, Patrik Forrer, Michael T. Stumpp, Michael T. Stumpp, Markus G. Grütter, A. Kohl, Thien Ngoc Nguyen and Mathias Uhlén and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Hans Binz

126 papers receiving 6.3k citations

Hit Papers

Engineering novel binding proteins from nonimmunoglobulin... 2004 2026 2011 2018 2005 2004 100 200 300 400 500

Peers

Hans Binz
Comparison fields: 5 of 122
  • Molecular Biology 3.7k
  • Radiology, Nuclear Medicine and Imaging 2.8k
  • Immunology 2.2k
  • Oncology 715
  • Epidemiology 627
Replace H. Mario Geysen with:
H. Mario Geysen Australia
Jens Schneider‐Mergener Germany
Eduardo A. Padlan United States
John Sjöquist Sweden
Carl Borrebaeck Sweden
Björn Nilsson Sweden
Brian J. Sutton United Kingdom
Per‐Åke Nygren Sweden
Mark A. Saper United States
Ellen S. Vitetta United States
H. Mario Geysen Australia View profile →
Citations per field, relative to Hans Binz
Hans Binz · 1×
Citations per year, relative to Hans Binz
Hans Binz · 1×

Countries citing papers authored by Hans Binz

Since Specialization
Citations

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

Fields of papers citing papers by Hans Binz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hans Binz

This figure shows the co-authorship network connecting the top 25 collaborators of Hans Binz. A scholar is included among the top collaborators of Hans Binz 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 Hans Binz. Hans Binz 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 20
2 63
3 208
4
High-affinity binders selected from designed ankyrin repeat protein libraries breakdown →
512
5 213
6 25
7 112
8 52
9 55
10 18
11 53
12 15
13 22
14 16
15 53
16 73
17 99
18 263
19 34
20 33

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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