Alexander Graf
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
-
- Reproductive Biology and Fertility
- Acute Lymphoblastic Leukemia research
Papers in
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- CRISPR and Genetic Engineering 5
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- SARS-CoV-2 and COVID-19 Research 11
- SARS-CoV-2 detection and testing 5
- COVID-19 Clinical Research Studies 5
- Co-authors
- Helmut Blum (41 shared papers)Eckhard Wolf (7 shared papers)Valeri Zakhartchenko (4 shared papers)Stefan Krebs (6 shared papers)Stefan Krebs (29 shared papers)Björn Schwalb (1 shared paper)Philipp A. Greif (12 shared papers)Ivica Međugorac (4 shared papers)
- Journals
- Blood (8 papers)Medical Microbiology and Immunology (4 papers)PLoS ONE (3 papers)Infection (2 papers)Clinical Infectious Diseases (1 paper)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Alexander Graf
52 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Hematology 166
- Public Health, Environmental and Occupational Health 367
- Genetics 341
- Ophthalmology 101
- Molecular Biology 567
Countries citing papers authored by Alexander Graf
This map shows the geographic impact of Alexander Graf'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 Alexander Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexander Graf more than expected).
Fields of papers citing papers by Alexander Graf
This network shows the impact of papers produced by Alexander Graf. 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 Alexander Graf. The network helps show where Alexander Graf may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander Graf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 251 | |
| 2 | 2013 | 143 | |
| 3 | 2014 | 109 | |
| 4 | 2012 | 99 | |
| 5 | 2014 | 88 | |
| 6 | 2017 | 80 | |
| 7 | 2018 | 69 | |
| 8 | 2019 | 47 | |
| 9 | 2021 | 40 | |
| 10 | 2016 | 38 | |
| 11 | 2014 | 38 | |
| 12 | 2022 | 25 | |
| 13 | 2020 | 24 | |
| 14 | 2022 | 22 | |
| 15 | 2015 | 21 | |
| 16 | 2021 | 20 | |
| 17 | 2020 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2021 | 15 | |
| 20 | 2021 | 15 |
About Alexander Graf
Alexander Graf is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Surgery and Hematology, having authored 56 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Acute Myeloid Leukemia Research (7 papers), SARS-CoV-2 detection and testing (5 papers), CRISPR and Genetic Engineering (5 papers), Acute Lymphoblastic Leukemia research (5 papers), COVID-19 Clinical Research Studies (5 papers), Genetic and phenotypic traits in livestock (4 papers) and Lymphoma Diagnosis and Treatment (4 papers). The work is most often cited by research in Hematology (166 citations), Public Health, Environmental and Occupational Health (367 citations), Genetics (341 citations), Ophthalmology (101 citations) and Molecular Biology (567 citations). Alexander Graf has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Helmut Blum, Eckhard Wolf, Valeri Zakhartchenko, Stefan Krebs, Stefan Krebs, Björn Schwalb, Philipp A. Greif, Ivica Međugorac, Sebastian Vosberg and Ingolf Ruß. Their work appears in journals such as Blood, Medical Microbiology and Immunology, PLoS ONE, Infection and Clinical Infectious Diseases.
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.