Heike Schmidlin
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Immunodeficiency and Autoimmune Disorders
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- Cytokine Signaling Pathways and Interactions
- CAR-T cell therapy research
Papers in
-
- T-cell and B-cell Immunology 9
- Immune Cell Function and Interaction 8
- Immunotherapy and Immune Responses 6
- Immune Response and Inflammation 1
- Immunodeficiency and Autoimmune Disorders 1
- Genetics 2
- Chronic Lymphocytic Leukemia Research 2
- Co-authors
- Bianca Blom (7 shared papers)Maho Nagasawa (6 shared papers)Sean A. Diehl (4 shared papers)Hergen Spits (5 shared papers)Remko Schotte (3 shared papers)Ferenc A. Scheeren (2 shared papers)Mark G. Hazekamp (1 shared paper)Simon D. van Haren (1 shared paper)
- Journals
- Blood (4 papers)The Journal of Immunology (2 papers)Immunology and Cell Biology (1 paper)Trends in Immunology (1 paper)European Journal of Immunology (1 paper)
- Partner nations
- NetherlandsUnited StatesSwitzerland
In The Last Decade
Heike Schmidlin
10 papers receiving 586 citations
Peers
Comparison fields: 5 of 60
- Immunology 414
- Oncology 125
- Genetics 37
- Pathology and Forensic Medicine 58
- Hematology 36
Countries citing papers authored by Heike Schmidlin
This map shows the geographic impact of Heike Schmidlin'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 Heike Schmidlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heike Schmidlin more than expected).
Fields of papers citing papers by Heike Schmidlin
This network shows the impact of papers produced by Heike Schmidlin. 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 Heike Schmidlin. The network helps show where Heike Schmidlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Heike Schmidlin, 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 | 2008 | 178 | |
| 2 | 2008 | 119 | |
| 3 | 2012 | 97 | |
| 4 | 2009 | 62 | |
| 5 | 2008 | 59 | |
| 6 | 2012 | 31 | |
| 7 | 2004 | 21 | |
| 8 | 2006 | 20 | |
| 9 | 2009 | 6 | |
| 10 | 2007 | 1 |
About Heike Schmidlin
Heike Schmidlin is a scholar working on Immunology, Genetics, Hematology, Infectious Diseases and Organic Chemistry, having authored 10 papers that have together received 594 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Immune Cell Function and Interaction (8 papers), Immunotherapy and Immune Responses (6 papers), Chronic Lymphocytic Leukemia Research (2 papers), Immune Response and Inflammation (1 paper), Hematopoietic Stem Cell Transplantation (1 paper) and Immunodeficiency and Autoimmune Disorders (1 paper). The work is most often cited by research in Immunology (414 citations), Oncology (125 citations), Genetics (37 citations), Pathology and Forensic Medicine (58 citations) and Hematology (36 citations). Heike Schmidlin has collaborated with scholars based in Netherlands, United States and Switzerland. Frequent co-authors include Bianca Blom, Maho Nagasawa, Sean A. Diehl, Hergen Spits, Remko Schotte, Ferenc A. Scheeren, Mark G. Hazekamp, Simon D. van Haren, Tim Beaumont and Etsuko Yasuda. Their work appears in journals such as Blood, The Journal of Immunology, Immunology and Cell Biology, Trends in Immunology and European Journal of Immunology.
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.