Mark Trautwein

626 citations
16 papers · 465 · h-index 9

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Fungal and yeast genetics research 4
    • RNA and protein synthesis mechanisms 3
    • Viral Infectious Diseases and Gene Expression in Insects 2
    • Protein purification and stability 2
    • CAR-T cell therapy research 3

Mark Trautwein

14 papers receiving 462 citations

Peers

Mark Trautwein
Comparison fields: 5 of 64
  • Cell Biology 189
  • Aging 12
  • Molecular Biology 385
  • Physiology 18
  • Plant Science 51
Replace Javier Manzano‐Lopez with:
Javier Manzano‐Lopez Spain
Riko Hatakeyama Switzerland
Kelly Orlando United States
S. E. Cheperegin Russia
Srimonti Sarkar India
Melissa N. Locke United States
Lee Willoughby Australia
Haitong Hou United States
Qinglong You United States
Deike J. Omnus Sweden
Mark Trautwein relative to Javier Manzano‐Lopez Spain Javier Manzano‐Lopez's profile →
Citations per field
00.5×2.6×
Javier Manzano‐Lopez · 1×
Citations per year

Countries citing papers authored by Mark Trautwein

Since Specialization
Citations

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

Fields of papers citing papers by Mark Trautwein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2008127
2 200499
3 200681
4 200443
5 201128
6 201426
7 202412
8 200410
9 200010
10 20178
11 20148
12 20208
13 20194
14 20221
15 20250
16 20240

About Mark Trautwein

Mark Trautwein is a scholar working on Molecular Biology, Oncology, Cell Biology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 16 papers that have together received 465 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (4 papers), Cellular transport and secretion (4 papers), CAR-T cell therapy research (3 papers), RNA and protein synthesis mechanisms (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Cell Biology (189 citations), Aging (12 citations), Molecular Biology (385 citations), Physiology (18 citations) and Plant Science (51 citations). Mark Trautwein has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Anne Spang, Robert Gauss, Thomas Sommer, Jörn Dengjel, Adiel Cohen, Thomas W. Sturgill, Dietmar E. Martin, Michael N. Hall, Enno Hartmann and Christina Schindler. Their work appears in journals such as Cancer Research, JAIDS Journal of Acquired Immune Deficiency Syndromes, mAbs, Frontiers in Immunology and Yeast.

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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