Tieno Germann

4.5k total citations
44 papers, 3.8k citations indexed

About

Tieno Germann is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy. According to data from OpenAlex, Tieno Germann has authored 44 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Immunology, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Immunology and Allergy. Recurrent topics in Tieno Germann's work include T-cell and B-cell Immunology (22 papers), Immune Cell Function and Interaction (21 papers) and Immunotherapy and Immune Responses (12 papers). Tieno Germann is often cited by papers focused on T-cell and B-cell Immunology (22 papers), Immune Cell Function and Interaction (21 papers) and Immunotherapy and Immune Responses (12 papers). Tieno Germann collaborates with scholars based in Germany, United States and Croatia. Tieno Germann's co-authors include Erwin Rüde, Edgar Schmitt, Maurice K. Gately, Petra Hoehn, Sigrid Goedert, Norbert Palm, Hanns Hatt, Ruth Jostock, Clemens Gillen and Shenchu Jin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Immunology.

In The Last Decade

Tieno Germann

44 papers receiving 3.7k citations

Peers

Tieno Germann
Comparison fields: 5 of 98
  • Immunology 2.1k
  • Molecular Biology 590
  • Epidemiology 464
  • Oncology 455
  • Physiology 352
Replace Hitoshi Hasegawa with:
Hitoshi Hasegawa Japan
Ivan Cruz Moura France
Tiziana Musso Italy
Michael Stassen Germany
Michel Dy France
Mark J. Soloski United States
Lina Kozhaya United States
Katia Boniface France
Santiago Partida‐Sánchez United States
Alessandra Mazzoni Italy
Hitoshi Hasegawa Japan View profile →
Citations per field, relative to Tieno Germann
Tieno Germann · 1×
Citations per year, relative to Tieno Germann
Tieno Germann · 1×

Countries citing papers authored by Tieno Germann

Since Specialization
Citations

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

Fields of papers citing papers by Tieno Germann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tieno Germann

This figure shows the co-authorship network connecting the top 25 collaborators of Tieno Germann. A scholar is included among the top collaborators of Tieno Germann 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 Tieno Germann. Tieno Germann 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 29
2 13
3 3
4 372
5 232
6 25
7 140
8 21
9 18
10 28
11 238
12 7
13 44
14 2
15 124
16 69
17 233
18 59
19 245
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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