Michelle Klein
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
-
- Blood groups and transfusion 4
-
- Immunodeficiency and Autoimmune Disorders 3
- Co-authors
- Cormac M. Kinsella (5 shared papers)Martin Deijs (5 shared papers)Maarten F. Jebbink (4 shared papers)Lia van der Hoek (4 shared papers)Joanna Kaczorowska (2 shared papers)Margreet Bakker (2 shared papers)Katherine Loens (1 shared paper)Patricia Sastre (1 shared paper)
- Journals
- Transfusion (2 papers)Nature Medicine (1 paper)Journal of Virology (1 paper)Bioinformatics and Biology Insights (1 paper)EClinicalMedicine (1 paper)
- Partner nations
- NetherlandsUnited StatesFrance
In The Last Decade
Michelle Klein
13 papers receiving 746 citations
Peers
Comparison fields: 5 of 73
- Modeling and Simulation 114
- Infectious Diseases 412
- Animal Science and Zoology 69
- Health 38
- Oncology 99
Countries citing papers authored by Michelle Klein
This map shows the geographic impact of Michelle Klein'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 Michelle Klein with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michelle Klein more than expected).
Fields of papers citing papers by Michelle Klein
This network shows the impact of papers produced by Michelle Klein. 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 Michelle Klein. The network helps show where Michelle Klein may publish in the future.
Co-authors
The 25 scholars most cited alongside Michelle Klein, 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 | 2020 | 462 | |
| 2 | 2019 | 133 | |
| 3 | 2021 | 52 | |
| 4 | 2022 | 33 | |
| 5 | 2012 | 19 | |
| 6 | 1989 | 17 | |
| 7 | [Membrane monoclonal immunoglobulins in chronic lymphoid leukemia]. | 1971 | 15 |
| 8 | 1987 | 11 | |
| 9 | 1987 | 10 | |
| 10 | 2021 | 9 | |
| 11 | 2023 | 3 | |
| 12 | 2006 | 2 | |
| 13 | Aspects of immunoglobulin G structure relevant to its interaction with Fc receptors. | 1981 | 1 |
| 14 | 2024 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 1996 | 0 |
About Michelle Klein
Michelle Klein is a scholar working on Hematology, Immunology, Genetics, Physiology and Infectious Diseases, having authored 16 papers that have together received 767 indexed citations. Recurring topics across this work include Blood groups and transfusion (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Virus-based gene therapy research (3 papers), Gut microbiota and health (2 papers), Erythrocyte Function and Pathophysiology (2 papers), Bacteriophages and microbial interactions (2 papers), Animal Virus Infections Studies (2 papers) and COVID-19 epidemiological studies (1 paper). The work is most often cited by research in Modeling and Simulation (114 citations), Infectious Diseases (412 citations), Animal Science and Zoology (69 citations), Health (38 citations) and Oncology (99 citations). Michelle Klein has collaborated with scholars based in Netherlands, United States and France. Frequent co-authors include Cormac M. Kinsella, Martin Deijs, Maarten F. Jebbink, Lia van der Hoek, Joanna Kaczorowska, Margreet Bakker, Katherine Loens, Patricia Sastre, Arthur W. D. Edridge and Amy Matser. Their work appears in journals such as Transfusion, Nature Medicine, Journal of Virology, Bioinformatics and Biology Insights and EClinicalMedicine.
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.