Robert Köchl
Impact in
- Physiology top 1%
- Calcium signaling and nucleotide metabolism
- Lysosomal Storage Disorders Research
- Cell Biology top 2%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
Papers in
-
- T-cell and B-cell Immunology 5
- Immune Cell Function and Interaction 5
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- Cellular Mechanics and Interactions 3
- Cellular transport and secretion 2
- Co-authors
- Sharon A. Tooze (3 shared papers)Edmond Y.W. Chan (2 shared papers)Dale W. Hailey (1 shared paper)Jennifer Lippincott‐Schwartz (1 shared paper)Stephen High (1 shared paper)Samuel G. Crawshaw (1 shared paper)Andrew Young (1 shared paper)Victor L. J. Tybulewicz (8 shared papers)
- Journals
- Nature Communications (5 papers)Journal of Cell Science (2 papers)Traffic (1 paper)Trends in Immunology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Robert Köchl
17 papers receiving 1.4k citations
Robert Köchl's Hit Papers
Peers
Comparison fields: 5 of 90
- Physiology 199
- Cell Biology 480
- Epidemiology 892
- Geriatrics and Gerontology 48
- Parasitology 91
Countries citing papers authored by Robert Köchl
This map shows the geographic impact of Robert Köchl'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 Robert Köchl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Köchl more than expected).
Fields of papers citing papers by Robert Köchl
This network shows the impact of papers produced by Robert Köchl. 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 Robert Köchl. The network helps show where Robert Köchl may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert Köchl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Starvation and ULK1-dependent cycling of mammalian Atg9 between the TGN and endosomes Hit paper breakdown → | 2006 | 634 |
| 2 | 2005 | 351 | |
| 3 | 2021 | 67 | |
| 4 | 2002 | 60 | |
| 5 | 2021 | 57 | |
| 6 | 2016 | 56 | |
| 7 | 2005 | 41 | |
| 8 | 2009 | 34 | |
| 9 | 2012 | 26 | |
| 10 | 2021 | 21 | |
| 11 | 2023 | 15 | |
| 12 | 2020 | 13 | |
| 13 | 2022 | 12 | |
| 14 | 2023 | 9 | |
| 15 | 2021 | 7 | |
| 16 | 2025 | 3 | |
| 17 | 2025 | 1 |
About Robert Köchl
Robert Köchl is a scholar working on Immunology, Cell Biology, Molecular Biology, Epidemiology and Physiology, having authored 17 papers that have together received 1.4k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (5 papers), Cellular Mechanics and Interactions (3 papers), Cell Adhesion Molecules Research (3 papers), Autophagy in Disease and Therapy (3 papers), Ion Transport and Channel Regulation (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and Cellular transport and secretion (2 papers). The work is most often cited by research in Physiology (199 citations), Cell Biology (480 citations), Epidemiology (892 citations), Geriatrics and Gerontology (48 citations) and Parasitology (91 citations). Robert Köchl has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Sharon A. Tooze, Edmond Y.W. Chan, Dale W. Hailey, Jennifer Lippincott‐Schwartz, Stephen High, Samuel G. Crawshaw, Andrew Young, Victor L. J. Tybulewicz, Chou‐Long Huang and Jian Xie. Their work appears in journals such as Nature Communications, Journal of Cell Science, Traffic, Trends in Immunology and Journal of Biological Chemistry.
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.