Markus Nabholz

8.0k citations
93 papers · 7.0k indexed · 2 hit papers · h-index 42
Topics
Immune Cell Function and Interaction (36 papers)T-cell and B-cell Immunology (36 papers)Immunotherapy and Immune Responses (22 papers)

In The Last Decade

Markus Nabholz

93 papers receiving 6.4k citations

Hit Papers

Genetic Analysis with Man–Mouse Somatic Cell Hybrids: Lin...1970202619882007197019852505007501000

Peers

Markus Nabholz
Comparison fields: 5 of 139
  • Immunology 4.0k
  • Molecular Biology 2.5k
  • Oncology 1.2k
  • Radiology, Nuclear Medicine and Imaging 897
  • Genetics 596
Replace Ulrich Hämmerling with:
Ulrich Hämmerling United States
Osias Stutman United States
G H Wong United States
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E A Carswell United States
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Sonoko Habu Japan
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Markus Nabholz relative to Ulrich Hämmerling United States Ulrich Hämmerling's profile →
Citations per field
00.5×1.5×2.2×
Ulrich Hämmerling · 1×
Citations per year

Countries citing papers authored by Markus Nabholz

Since Specialization
Citations

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

Fields of papers citing papers by Markus Nabholz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Nabholz

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Nabholz. A scholar is included among the top collaborators of Markus Nabholz 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 Markus Nabholz. Markus Nabholz 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
#WorkIndexed citations
1 148
2 5
3 15
4 66
5 71
6 8
7 4
8 18
9 9
10 50
11 4
12 4
13 38
14 2
15 78
16 71
17
Inhibition of mouse mlr by anti-ia sera.
21
18 116
19 103
20
A bipartite interpretation and tentative mapping of H-2-associated MLR determinants in the mouse.
25

About Markus Nabholz

Markus Nabholz is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 93 papers that have together received 7.0k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (36 papers), T-cell and B-cell Immunology (36 papers) and Immunotherapy and Immune Responses (22 papers). The work is most often cited by research in Immunology (4.0k citations), Oncology (1.2k citations) and Radiology, Nuclear Medicine and Imaging (897 citations). Markus Nabholz has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include H. Robson MacDonald, V. Miggiano, Walter F. Bodmer, John W. Lowenthal, Alex Darlington, Jürg Tschopp, Rhodri Ceredig, Harald von Boehmer, Patricia Corthésy and Patrick Reichenbach. Their work appears in journals such as Nature, Journal of Biological Chemistry and The Journal of Experimental Medicine.

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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