Marc Langweiler
Impact in
- Biochemistry top 10%
- Blood transfusion and management
- Hematology top 10%
- Platelet Disorders and Treatments
- Blood groups and transfusion
Papers in
-
- Advanced Biosensing Techniques and Applications 3
- Single-cell and spatial transcriptomics 2
- Lipid Membrane Structure and Behavior 1
-
- Immunotherapy and Immune Responses 3
- T-cell and B-cell Immunology 2
- Co-authors
- Angélique Biancotto (4 shared papers)J. Philip McCoy (2 shared papers)Xingmin Feng (1 shared paper)Bruce H. Davis (3 shared papers)Neal S. Young (1 shared paper)Ronald D. Schultz (2 shared papers)B. E. Sheffy (2 shared papers)Pradeep K. Dagur (2 shared papers)
- Journals
- American Journal of Veterinary Research (3 papers)Cytometry (2 papers)Cytometry Part A (2 papers)Cell Proliferation (1 paper)International Archives of Allergy and Immunology (1 paper)
- Partner nations
- United StatesSweden
In The Last Decade
Marc Langweiler
15 papers receiving 356 citations
Peers
Comparison fields: 5 of 91
- Biochemistry 74
- Hematology 93
- Management of Technology and Innovation 39
- Immunology 103
- Biological Psychiatry 7
Countries citing papers authored by Marc Langweiler
This map shows the geographic impact of Marc Langweiler'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 Langweiler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Langweiler more than expected).
Fields of papers citing papers by Marc Langweiler
This network shows the impact of papers produced by Marc Langweiler. 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 Langweiler. The network helps show where Marc Langweiler may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Langweiler, 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 | 2013 | 84 | |
| 2 | 2012 | 80 | |
| 3 | 2002 | 74 | |
| 4 | 1993 | 37 | |
| 5 | 1981 | 31 | |
| 6 | 1986 | 18 | |
| 7 | 2011 | 17 | |
| 8 | Role of suppressor cells in feline leukemia virus-associated immunosuppression. | 1983 | 12 |
| 9 | 1983 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 1982 | 6 | |
| 12 | 2003 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 1988 | 2 | |
| 15 | 1989 | 1 |
About Marc Langweiler
Marc Langweiler is a scholar working on Molecular Biology, Immunology, Oncology, Epidemiology and Physiology, having authored 15 papers that have together received 379 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (3 papers), Advanced Biosensing Techniques and Applications (3 papers), Single-cell and spatial transcriptomics (2 papers), Chemokine receptors and signaling (2 papers), T-cell and B-cell Immunology (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Lipid Membrane Structure and Behavior (1 paper) and Acute Ischemic Stroke Management (1 paper). The work is most often cited by research in Biochemistry (74 citations), Hematology (93 citations), Management of Technology and Innovation (39 citations), Immunology (103 citations) and Biological Psychiatry (7 citations). Marc Langweiler has collaborated with scholars based in United States and Sweden. Frequent co-authors include Angélique Biancotto, J. Philip McCoy, Xingmin Feng, Bruce H. Davis, Neal S. Young, Ronald D. Schultz, B. E. Sheffy, Pradeep K. Dagur, Nancy C. Bigelow and Ena Wang. Their work appears in journals such as American Journal of Veterinary Research, Cytometry, Cytometry Part A, Cell Proliferation and International Archives of Allergy and 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.