Martin Etzrodt
- Immunology top 1%
- Immune cells in cancer 9
- Immune Cell Function and Interaction 5
- Immune Response and Inflammation 3
- Neurology top 2%
- Cancer Research top 5%
- Biological Psychiatry top 10%
- Oncology top 5%
- Cancer Cells and Metastasis 3
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- 3D Printing in Biomedical Research 4
- Microfluidic and Bio-sensing Technologies 3
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- Extracellular vesicles in disease 3
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- Hematopoietic Stem Cell Transplantation 3
- Co-authors
- Mikäel J. PittetFilip K. ŚwirskiRalph WeisslederMatthias NahrendorfAleksey ChudnovskiyVirna Cortez‐RetamozoJose‐Luiz FigueiredoPeter Libby
- Cited by
- ImmunologyNeurologyCancer Research
- Partner nations
- SwitzerlandUnited StatesUnited Kingdom
In The Last Decade
Martin Etzrodt
28 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Immunology 2.1k
- Neurology 364
- Cancer Research 342
- Biological Psychiatry 50
- Oncology 517
Countries citing papers authored by Martin Etzrodt
This map shows the geographic impact of Martin Etzrodt'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 Martin Etzrodt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Etzrodt more than expected).
Fields of papers citing papers by Martin Etzrodt
This network shows the impact of papers produced by Martin Etzrodt. 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 Martin Etzrodt. The network helps show where Martin Etzrodt may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Etzrodt, 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 | 2022 | 13 | |
| 2 | 2021 | 6 | |
| 3 | 2020 | 9 | |
| 4 | 2020 | 11 | |
| 5 | 2018 | 51 | |
| 6 | 2017 | 41 | |
| 7 | 2017 | 7 | |
| 8 | 2016 | 5 | |
| 9 | 2014 | 86 | |
| 10 | 2013 | 157 | |
| 11 | Origins of tumor-associated macrophages and neutrophilsbreakdown → | 2012 | 521 |
| 12 | 2012 | 314 | |
| 13 | 2012 | 98 | |
| 14 | 2012 | 76 | |
| 15 | 2012 | 16 | |
| 16 | 2011 | 38 | |
| 17 | Identification of Splenic Reservoir Monocytes and Their Deployment to Inflammatory Sitesbreakdown → | 2009 | 1708 |
| 18 | 2009 | 92 | |
| 19 | 2009 | 49 | |
| 20 | 2006 | 30 |
About Martin Etzrodt
Martin Etzrodt is a scholar working on Immunology, Biophysics and Hematology, having authored 28 papers that have together received 3.8k indexed citations. Recurring topics across this work include Immune cells in cancer (9 papers), Immune Cell Function and Interaction (5 papers), 3D Printing in Biomedical Research (4 papers), Extracellular vesicles in disease (3 papers), Cancer Cells and Metastasis (3 papers), Immune Response and Inflammation (3 papers), Microfluidic and Bio-sensing Technologies (3 papers) and Hematopoietic Stem Cell Transplantation (3 papers). The work is most often cited by research in Immunology (2.1k citations), Neurology (364 citations) and Cancer Research (342 citations). Martin Etzrodt has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Mikäel J. Pittet, Filip K. Świrski, Ralph Weissleder, Matthias Nahrendorf, Aleksey Chudnovskiy, Virna Cortez‐Retamozo, Jose‐Luiz Figueiredo, Peter Libby, Moritz Wildgruber and Thorsten R. Mempel. Their work appears in journals such as Analytical Chemistry, Cell Reports, Science, PLoS ONE and Blood.
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.