Marco Gerling
Impact in
- Oncology top 10%
- Cancer Cells and Metastasis
- Cancer Immunotherapy and Biomarkers
-
- Cancer, Hypoxia, and Metabolism
Papers in
- Oncology 8
- Cancer Cells and Metastasis 5
- Pancreatic and Hepatic Oncology Research 3
- Cancer Immunotherapy and Biomarkers 2
- CAR-T cell therapy research 2
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- Hedgehog Signaling Pathway Studies 3
- Epigenetics and DNA Methylation 2
- Co-authors
- Sven Almér (3 shared papers)Carlos Fernández Moro (5 shared papers)Béla Bozóky (3 shared papers)Åsa Bergström (3 shared papers)Elisabeth A. Boström (2 shared papers)Rune Toftgård (4 shared papers)Jan Söderman (2 shared papers)Madeleen Bosma (2 shared papers)
- Journals
- Nature Communications (2 papers)ESMO Open (1 paper)Nature Methods (1 paper)BMJ Open Gastroenterology (1 paper)Clinical Science (1 paper)
- Partner nations
- SwedenGermanyNetherlands
In The Last Decade
Marco Gerling
23 papers receiving 793 citations
Peers
Comparison fields: 5 of 89
- Oncology 231
- Cancer Research 111
- Immunology 138
- Molecular Biology 298
- Hepatology 28
Countries citing papers authored by Marco Gerling
This map shows the geographic impact of Marco Gerling'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 Marco Gerling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Gerling more than expected).
Fields of papers citing papers by Marco Gerling
This network shows the impact of papers produced by Marco Gerling. 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 Marco Gerling. The network helps show where Marco Gerling may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Gerling, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 108 | |
| 2 | 2016 | 107 | |
| 3 | 2015 | 98 | |
| 4 | 2016 | 77 | |
| 5 | 2016 | 68 | |
| 6 | 2018 | 51 | |
| 7 | 2023 | 51 | |
| 8 | 2019 | 51 | |
| 9 | 2019 | 46 | |
| 10 | 2010 | 29 | |
| 11 | 2020 | 25 | |
| 12 | 2021 | 20 | |
| 13 | 2011 | 14 | |
| 14 | 2013 | 11 | |
| 15 | 2024 | 11 | |
| 16 | 2019 | 9 | |
| 17 | 2022 | 8 | |
| 18 | 2023 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2021 | 3 |
About Marco Gerling
Marco Gerling is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Genetics and Immunology, having authored 23 papers that have together received 801 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (5 papers), Hedgehog Signaling Pathway Studies (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), Immune Cell Function and Interaction (2 papers), CAR-T cell therapy research (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Oncology (231 citations), Cancer Research (111 citations), Immunology (138 citations), Molecular Biology (298 citations) and Hepatology (28 citations). Marco Gerling has collaborated with scholars based in Sweden, Germany and Netherlands. Frequent co-authors include Sven Almér, Carlos Fernández Moro, Béla Bozóky, Åsa Bergström, Elisabeth A. Boström, Rune Toftgård, Jan Söderman, Madeleen Bosma, Raoul Kuiper and Benjamin Englert. Their work appears in journals such as Nature Communications, ESMO Open, Nature Methods, BMJ Open Gastroenterology and Clinical Science.
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.