Marc A. Becker
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Mast cells and histamine
- Immunotherapy and Immune Responses
- IL-33, ST2, and ILC Pathways
- Immunology and Allergy top 5%
- Allergic Rhinitis and Sensitization
Papers in
-
- Ovarian cancer diagnosis and treatment 8
- Co-authors
- Michael StassenHansjörg SchildTobias BoppEdgar SchmittMatthias KleinChristian TaubeValeska HeibPaul Haluska
- Journals
- The Journal of Immunology (5 papers)Clinical Cancer Research (2 papers)Molecular Cancer Therapeutics (2 papers)PLoS ONE (2 papers)British Journal of Haematology (1 paper)
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Marc A. Becker
37 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 102
- Immunology 1.2k
- Immunology and Allergy 178
- Oncology 430
- Physiology 64
- Physiology 299
Countries citing papers authored by Marc A. Becker
This map shows the geographic impact of Marc A. Becker'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 Marc A. Becker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc A. Becker more than expected).
Fields of papers citing papers by Marc A. Becker
This network shows the impact of papers produced by Marc A. Becker. 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 Marc A. Becker. The network helps show where Marc A. Becker may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc A. Becker, 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 | 2016 | 9 | |
| 2 | 2016 | 49 | |
| 3 | 2016 | 12 | |
| 4 | 2016 | 8 | |
| 5 | 2016 | 6 | |
| 6 | 2016 | 7 | |
| 7 | 2015 | 50 | |
| 8 | 2015 | 20 | |
| 9 | 2015 | 23 | |
| 10 | 2014 | 56 | |
| 11 | 2014 | 27 | |
| 12 | 2013 | 7 | |
| 13 | 2013 | 1 | |
| 14 | 2012 | 28 | |
| 15 | 2012 | 6 | |
| 16 | 2010 | 429 | |
| 17 | 2009 | 11 | |
| 18 | 2008 | 60 | |
| 19 | 2007 | 473 | |
| 20 | 2006 | 87 |
About Marc A. Becker
Marc A. Becker is a scholar working on Reproductive Medicine, Immunology and Allergy, Immunology, Oncology and Endocrinology, Diabetes and Metabolism, having authored 37 papers that have together received 2.0k indexed citations. Recurring topics across this work include Mast cells and histamine (10 papers), Immune Cell Function and Interaction (8 papers), Ovarian cancer diagnosis and treatment (8 papers), Growth Hormone and Insulin-like Growth Factors (5 papers), Asthma and respiratory diseases (5 papers), T-cell and B-cell Immunology (4 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Immunology (1.2k citations), Immunology and Allergy (178 citations), Oncology (430 citations), Physiology (64 citations) and Physiology (299 citations). Marc A. Becker has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Michael Stassen, Hansjörg Schild, Tobias Bopp, Edgar Schmitt, Matthias Klein, Christian Taube, Valeska Heib, Paul Haluska, Stefan Klein-Heßling and Edgar Serfling. Their work appears in journals such as The Journal of Immunology, Clinical Cancer Research, Molecular Cancer Therapeutics, PLoS ONE and British Journal of Haematology.
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.