Michael Täger

32 papers receiving 1.1k citations

Peers

Michael Täger
Comparison fields: 5 of 97
  • Oncology 429
  • Cellular and Molecular Neuroscience 263
  • Endocrinology, Diabetes and Metabolism 218
  • Aging 21
  • Biochemistry 57
Replace Patrick Linsel‐Nitschke with:
Patrick Linsel‐Nitschke Germany
Kristin Breitschopf Germany
Nathalie Pamir United States
Smita Sihag United States
Cristin M. Galardi United States
Radmila Micanovic United States
Sanae Haga Japan
Jiaping Gao United States
Yoshino Matsuo Japan
Michael Täger relative to Patrick Linsel‐Nitschke Germany Patrick Linsel‐Nitschke's profile →
Citations per field
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Citations per year

Countries citing papers authored by Michael Täger

Since Specialization
Citations

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

Fields of papers citing papers by Michael Täger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004110
2 200583
3
Membrane-bound proteindisulfide isomerase (PDI) is involved in regulation of surface expression of thiols and drug sensitivity of B-CLL cells.
199769
4 200960
5 201258
6 200857
7 199755
8 200955
9 200650
10 200646
11 200743
12 201139
13 199939
14 200533
15 200632
16 200631
17 200029
18 200124
19 199521
20 200621

About Michael Täger

Michael Täger is a scholar working on Oncology, Cellular and Molecular Neuroscience, Molecular Biology, Physiology and Immunology, having authored 32 papers that have together received 1.1k indexed citations. Recurring topics across this work include Peptidase Inhibition and Analysis (18 papers), Neuropeptides and Animal Physiology (13 papers), Signaling Pathways in Disease (4 papers), Nitric Oxide and Endothelin Effects (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers), Adenosine and Purinergic Signaling (2 papers), Sulfur Compounds in Biology (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Oncology (429 citations), Cellular and Molecular Neuroscience (263 citations), Endocrinology, Diabetes and Metabolism (218 citations), Aging (21 citations) and Biochemistry (57 citations). Michael Täger has collaborated with scholars based in Germany, United States and Israel. Frequent co-authors include Siegfried Ansorge, Uwe Lendeckel, Dirk Reinhold, Ute Bank, Stefanie M. Bode‐Böger, Fortunato Scalera, Jens Martens‐Lobenhoffer, Jürgen Faust, S Ansorge and Klaus Neubert. Their work appears in journals such as Advances in experimental medicine and biology, Biological Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Free Radical Biology and Medicine and International Immunopharmacology.

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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