William D. Graf
Impact in
- Biophysics top 0.5%
- Cell Image Analysis Techniques
- Advanced Fluorescence Microscopy Techniques
- Structural Biology top 5%
Papers in
-
- Cell Image Analysis Techniques 2
- Co-authors
- David Van ValenDylan BannonErick MoenTakamasa KudoMarkus W. CovertNoah F. GreenwaldShaheen MozaffarJennifer Seymour Whitaker
- Journals
- The International Journal of African Historical Studies (8 papers)Nature Methods (2 papers)Canadian Journal of African Studies / Revue canadienne des études africaines (2 papers)History of European Ideas (1 paper)Neurology (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
William D. Graf
28 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 165
- Biophysics 461
- Structural Biology 30
- Media Technology 159
- Health Informatics 11
- Development 24
Countries citing papers authored by William D. Graf
This map shows the geographic impact of William D. 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 William D. Graf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William D. Graf more than expected).
Fields of papers citing papers by William D. Graf
This network shows the impact of papers produced by William D. 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 William D. Graf. The network helps show where William D. Graf may publish in the future.
Co-authors
The 25 scholars most cited alongside William D. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2021 | 86 | |
| 3 | 2021 | 20 | |
| 4 | 2020 | 206 | |
| 5 | Deep learning for cellular image analysis Hit paper breakdown → | 2019 | 737 |
| 6 | 1999 | 10 | |
| 7 | 1996 | 5 | |
| 8 | 1995 | 2 | |
| 9 | 1992 | 2 | |
| 10 | 1992 | 19 | |
| 11 | 1990 | 4 | |
| 12 | 1989 | 31 | |
| 13 | 1987 | 1 | |
| 14 | 1986 | 6 | |
| 15 | Anti-Communism in the Federal Republic of Germany | 1984 | 1 |
| 16 | 1984 | 5 | |
| 17 | 1984 | 2 | |
| 18 | 1983 | 3 | |
| 19 | Anti-Brandt: A Critique of Northwestern Prescriptions for World Order | 1981 | 4 |
| 20 | The German left since 1945 : socialism and social democracy in the German Federal Republic | 1976 | 4 |
About William D. Graf
William D. Graf is a scholar working on Biophysics, General Social Sciences, Political Science and International Relations, Development and Media Technology, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Political Conflict and Governance (2 papers), European history and politics (2 papers), Immune cells in cancer (2 papers), Image Processing Techniques and Applications (2 papers), Cell Image Analysis Techniques (2 papers), Palliative Care and End-of-Life Issues (1 paper) and Global Peace and Security Dynamics (1 paper). The work is most often cited by research in Biophysics (461 citations), Structural Biology (30 citations), Media Technology (159 citations), Health Informatics (11 citations) and Development (24 citations). William D. Graf has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include David Van Valen, Dylan Bannon, Erick Moen, Takamasa Kudo, Markus W. Covert, Noah F. Greenwald, Shaheen Mozaffar, Jennifer Seymour Whitaker, Jan Van den Bossche and Felix J. Hartmann. Their work appears in journals such as The International Journal of African Historical Studies, Nature Methods, Canadian Journal of African Studies / Revue canadienne des études africaines, History of European Ideas and Neurology.
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.