Gudrun Totzke

1.4k citations
29 papers · 1.2k indexed · h-index 19
    • Cancer, Lipids, and Metabolism 3
    • NF-κB Signaling Pathways 3
  • Immunology top 10%
    • interferon and immune responses 2
  • Oncology top 10%
    • Angiogenesis and VEGF in Cancer 5
    • Molecular Biology Techniques and Applications 3
    • Cell death mechanisms and regulation 3
    • Ubiquitin and proteasome pathways 3
    • Bacteriophages and microbial interactions 2

Gudrun Totzke

29 papers receiving 1.1k citations

Peers

Gudrun Totzke
Comparison fields: 5 of 107
  • Cancer Research 217
  • Immunology 232
  • Oncology 236
  • Molecular Biology 565
  • Immunology and Allergy 44
Replace Sneha M. Pinto with:
Sneha M. Pinto India
Arūnas Kazlauskas Lithuania
Chien‐Chin Chen Taiwan
Carol J. Detrisac United States
Do‐Sim Park South Korea
Akiko Sakurai Japan
Rosanna Martinelli Italy
Ansgar Brüning Germany
Soumya Panigrahi United States
Gordon K. Wollenberg United States
Gudrun Totzke relative to Sneha M. Pinto India Sneha M. Pinto's profile →
Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Gudrun Totzke

Since Specialization
Citations

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

Fields of papers citing papers by Gudrun Totzke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200931
2 20066
3 200690
4 200512
5 200494
6 2003101
7 200363
8 20033
9 200374
10 2002180
11 20016
12 20012
13 20019
14 200139
15 200059
16 200035
17 199924
18 199718
19 199618
20 199529

About Gudrun Totzke

Gudrun Totzke is a scholar working on Cancer Research, Hematology and Internal Medicine, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (5 papers), Molecular Biology Techniques and Applications (3 papers), Cancer, Lipids, and Metabolism (3 papers), Cell death mechanisms and regulation (3 papers), Ubiquitin and proteasome pathways (3 papers), NF-κB Signaling Pathways (3 papers), interferon and immune responses (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Cancer Research (217 citations), Immunology (232 citations) and Oncology (236 citations). Gudrun Totzke has collaborated with scholars based in Germany, Austria and India. Frequent co-authors include Klaus Schulze‐Osthoff, Reiner U. Jänicke, H. Vetter, Agapios Sachinidis, Frank Eßmann, Yon Ko, Ingo H. Engels, Stefan Fronhoffs, Ioanna Gouni‐Berthold and Y. Ko. Their work appears in journals such as Journal of Hypertension, Cell Cycle, Molecular and Cellular Biology, BMB Reports and FEBS Letters.

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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