Alexander E. Graf
Impact in
- Hematology top 2%
- Acute Myeloid Leukemia Research
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
- Hematology 21
- Acute Myeloid Leukemia Research 19
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- SARS-CoV-2 and COVID-19 Research 19
- SARS-CoV-2 detection and testing 15
- COVID-19 Clinical Research Studies 6
- Co-authors
- Helmut Blum (43 shared papers)Eckhard Wolf (7 shared papers)Stefan Krebs (6 shared papers)Valeri Zakhartchenko (4 shared papers)Stefan Krebs (31 shared papers)Björn Schwalb (1 shared paper)Philipp A. Greif (14 shared papers)Sebastian Vosberg (11 shared papers)
- Journals
- Blood (12 papers)Medical Microbiology and Immunology (6 papers)Leukemia (5 papers)Nature Communications (4 papers)PLoS ONE (4 papers)
- Partner nations
- GermanyUnited StatesFrance
In The Last Decade
Alexander E. Graf
81 papers receiving 3.0k citations
Alexander E. Graf's Hit Papers
Peers
Comparison fields: 5 of 120
- Hematology 666
- Infectious Diseases 545
- Genetics 231
- Genetics 597
- Cancer Research 278
Countries citing papers authored by Alexander E. Graf
This map shows the geographic impact of Alexander E. 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 E. 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 E. Graf more than expected).
Fields of papers citing papers by Alexander E. Graf
This network shows the impact of papers produced by Alexander E. 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 E. Graf. The network helps show where Alexander E. Graf may publish in the future.
Co-authors
The 25 scholars most cited alongside Alexander E. 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 267 | |
| 2 | Three exposures to the spike protein of SARS-CoV-2 by either infection or vaccination elicit superior neutralizing immunity to all variants of concern Hit paper breakdown → | 2022 | 201 |
| 3 | 2020 | 188 | |
| 4 | 2013 | 170 | |
| 5 | 2013 | 146 | |
| 6 | 2012 | 128 | |
| 7 | 2014 | 122 | |
| 8 | 2012 | 117 | |
| 9 | 2014 | 100 | |
| 10 | 2017 | 99 | |
| 11 | 2022 | 88 | |
| 12 | 2013 | 87 | |
| 13 | 2014 | 85 | |
| 14 | 2018 | 82 | |
| 15 | 2018 | 70 | |
| 16 | 2020 | 64 | |
| 17 | 2017 | 57 | |
| 18 | 2020 | 57 | |
| 19 | 2020 | 53 | |
| 20 | 2016 | 52 |
About Alexander E. Graf
Alexander E. Graf is a scholar working on Hematology, Infectious Diseases, Genetics, Public Health, Environmental and Occupational Health and Cancer Research, having authored 83 papers that have together received 3.1k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (19 papers), Acute Myeloid Leukemia Research (19 papers), SARS-CoV-2 detection and testing (15 papers), Biosensors and Analytical Detection (9 papers), Acute Lymphoblastic Leukemia research (9 papers), Cancer Genomics and Diagnostics (7 papers), Epigenetics and DNA Methylation (7 papers) and COVID-19 Clinical Research Studies (6 papers). The work is most often cited by research in Hematology (666 citations), Infectious Diseases (545 citations), Genetics (231 citations), Genetics (597 citations) and Cancer Research (278 citations). Alexander E. Graf has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Helmut Blum, Eckhard Wolf, Stefan Krebs, Valeri Zakhartchenko, Stefan Krebs, Björn Schwalb, Philipp A. Greif, Sebastian Vosberg, Ivica Međugorac and Doris Seichter. Their work appears in journals such as Blood, Medical Microbiology and Immunology, Leukemia, Nature Communications and PLoS ONE.
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.