William Bloom
Impact in
- Cell Biology top 5%
- Microtubule and mitosis dynamics
- Urology top 5%
Papers in
-
- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Don W. Fawcett (2 shared papers)Raymond E. Zirkle (3 shared papers)Robert B. Uretz (2 shared papers)Andrew V. Nalbandov (1 shared paper)Margaret A. Bloom (1 shared paper)L. V. Domm (1 shared paper)Rudy Fenwick (1 shared paper)Irwin Feigin (1 shared paper)
- Journals
- American Journal of Clinical Pathology (3 papers)The Journal of Cell Biology (2 papers)Science (2 papers)Annals of the New York Academy of Sciences (2 papers)Neurology (1 paper)
- Partner nations
- United States
In The Last Decade
William Bloom
21 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Cell Biology 283
- Urology 74
- Reproductive Medicine 87
- Immunology and Allergy 60
- Rheumatology 147
Countries citing papers authored by William Bloom
This map shows the geographic impact of William Bloom'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 Bloom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Bloom more than expected).
Fields of papers citing papers by William Bloom
This network shows the impact of papers produced by William Bloom. 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 Bloom. The network helps show where William Bloom may publish in the future.
Co-authors
The 9 scholars most cited alongside William Bloom, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A Textbook of Histology Hit paper breakdown → | 1962 | 1617 |
| 2 | 1990 | 264 | |
| 3 | 1953 | 143 | |
| 4 | 1958 | 98 | |
| 5 | 1955 | 71 | |
| 6 | 1956 | 69 | |
| 7 | 1954 | 65 | |
| 8 | Tratado de histología | 1987 | 39 |
| 9 | 1962 | 38 | |
| 10 | 1960 | 35 | |
| 11 | 1991 | 34 | |
| 12 | 1961 | 24 | |
| 13 | 1957 | 14 | |
| 14 | 1955 | 13 | |
| 15 | 1959 | 9 | |
| 16 | 1960 | 6 | |
| 17 | 1970 | 5 | |
| 18 | Money, Heart and Mind: Financial Well-Being for People and Planet | 1995 | 3 |
| 19 | 1959 | 3 | |
| 20 | 2005 | 2 |
About William Bloom
William Bloom is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Surgery, Health and Neurology, having authored 22 papers that have together received 2.6k indexed citations. Recurring topics across this work include Comparative Animal Anatomy Studies (1 paper), Innovation Diffusion and Forecasting (1 paper), Electron and X-Ray Spectroscopy Techniques (1 paper), Pituitary Gland Disorders and Treatments (1 paper), Genetics, Bioinformatics, and Biomedical Research (1 paper), Chemical Reactions and Isotopes (1 paper), Plant Genetic and Mutation Studies (1 paper) and Consumer Behavior in Brand Consumption and Identification (1 paper). The work is most often cited by research in Cell Biology (283 citations), Urology (74 citations), Reproductive Medicine (87 citations), Immunology and Allergy (60 citations) and Rheumatology (147 citations). William Bloom has collaborated with scholars based in United States. Frequent co-authors include Don W. Fawcett, Raymond E. Zirkle, Robert B. Uretz, Andrew V. Nalbandov, Margaret A. Bloom, L. V. Domm, Rudy Fenwick, Irwin Feigin and Arthur F. Battista. Their work appears in journals such as American Journal of Clinical Pathology, The Journal of Cell Biology, Science, Annals of the New York Academy of Sciences 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.