José‐Marc Techner
Impact in
- Hematology top 2%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immune Response and Inflammation
- Immune responses and vaccinations
- T-cell and B-cell Immunology
Papers in ⓘ
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- Skin Protection and Aging 1
- Co-authors
- Emmanuelle Passegué (2 shared papers)Sarah Fong (2 shared papers)Eric M. Pietras (2 shared papers)Ranjani Lakshminarasimhan (2 shared papers)Claus Nerlov (1 shared paper)Dirk Loeffler (1 shared paper)Ulrich Steidl (1 shared paper)Britta Will (1 shared paper)
- Journals
- Journal of Investigative Dermatology (3 papers)The Journal of Experimental Medicine (1 paper)Annals of the New York Academy of Sciences (1 paper)Nature Cell Biology (1 paper)JCI Insight (1 paper)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
José‐Marc Techner
7 papers receiving 756 citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Hematology 380
- Immunology 462
- Genetics 118
- Molecular Biology 223
- Oncology 78
Countries citing papers authored by José‐Marc Techner
This map shows the geographic impact of José‐Marc Techner'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 José‐Marc Techner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José‐Marc Techner more than expected).
Fields of papers citing papers by José‐Marc Techner
This network shows the impact of papers produced by José‐Marc Techner. 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 José‐Marc Techner. The network helps show where José‐Marc Techner may publish in the future.
Co-authors
The 25 scholars most cited alongside José‐Marc Techner, 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 | Chronic interleukin-1 exposure drives haematopoietic stem cells towards precocious myeloid differentiation at the expense of self-renewal Hit paper breakdown → | 2016 | 500 |
| 2 | 2014 | 218 | |
| 3 | 2019 | 20 | |
| 4 | 2020 | 10 | |
| 5 | 2023 | 5 | |
| 6 | 2022 | 2 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 0 |
About José‐Marc Techner
José‐Marc Techner is a scholar working on Behavioral Neuroscience, Dermatology, Immunology, Hematology and Immunology and Allergy, having authored 8 papers that have together received 756 indexed citations. Recurring topics across this work include Vitamin D Research Studies (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Immune Cell Function and Interaction (2 papers), RNA and protein synthesis mechanisms (1 paper), T-cell and Retrovirus Studies (1 paper), Cell Adhesion Molecules Research (1 paper), Fibromyalgia and Chronic Fatigue Syndrome Research (1 paper) and Skin Protection and Aging (1 paper). The work is most often cited by research in Hematology (380 citations), Immunology (462 citations), Genetics (118 citations), Molecular Biology (223 citations) and Oncology (78 citations). José‐Marc Techner has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Emmanuelle Passegué, Sarah Fong, Eric M. Pietras, Ranjani Lakshminarasimhan, Claus Nerlov, Dirk Loeffler, Ulrich Steidl, Britta Will, Timm Schroeder and Markus G. Manz. Their work appears in journals such as Journal of Investigative Dermatology, The Journal of Experimental Medicine, Annals of the New York Academy of Sciences, Nature Cell Biology and JCI Insight.
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.