Tim König

24 papers receiving 1.4k citations

Tim König's Hit Papers

Mitochondrial-derived vesicles in metabolism, disease, and aging 2024 · 93 citations
930+1+3Years since publication50100150200

Peers

Tim König
Comparison fields: 5 of 89
  • Clinical Biochemistry 274
  • Aging 34
  • Molecular Biology 1.1k
  • Cell Biology 196
  • Biochemistry 53
Replace Yuka Eura with:
Yuka Eura Japan
Yolanda Cámara Spain
Shotaro Saita Japan
Alexander R. van Vliet Belgium
Jukka Kallijärvi Finland
Kelly R. Pitts United States
Inge Kühl France
Natalie J. Kolawa United States
Carol X Chen Canada
Cassandra Obie United States
Tim König relative to Yuka Eura Japan Yuka Eura's profile →
Citations per field
00.5×3.5×
Yuka Eura · 1×
Citations per year

Countries citing papers authored by Tim König

Since Specialization
Citations

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

Fields of papers citing papers by Tim König

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MIROs and DRP1 drive mitochondrial-derived vesicle biogenesis and promote quality control
Hit paper breakdown →
2021201
2 2013173
3 2016161
4 2016145
5 2017109
6 2016101
7
Mitochondrial-derived vesicles in metabolism, disease, and aging
Hit paper breakdown →
202493
8 201884
9 201675
10 201567
11 201846
12 201435
13 201422
14 202121
15 202111
16 20255
17 20243
18 20163
19 20172
20 20131

About Tim König

Tim König is a scholar working on Molecular Biology, Cell Biology, Computer Vision and Pattern Recognition, Physiology and Clinical Biochemistry, having authored 24 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (12 papers), ATP Synthase and ATPases Research (7 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Metabolism and Genetic Disorders (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers), Cell Image Analysis Techniques (2 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Image Retrieval and Classification Techniques (2 papers). The work is most often cited by research in Clinical Biochemistry (274 citations), Aging (34 citations), Molecular Biology (1.1k citations), Cell Biology (196 citations) and Biochemistry (53 citations). Tim König has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Thomas Langer, Takashi Tatsuta, Heidi M. McBride, Mari J. Aaltonen, Hendrik Nolte, Timothy Wai, Shotaro Saita, Marcus Krüger, Mathias Haag and Thomas Stroh. Their work appears in journals such as Cell Metabolism, Molecular Cell, International Journal of Computer Assisted Radiology and Surgery, EMBO Reports and Journal of the American Society of Nephrology.

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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