Marshall E. Bloom
- Infectious Diseases top 0.5%
- Viral Infections and Vectors 37
- Parvovirus B19 Infection Studies 31
- Viral gastroenteritis research and epidemiology 16
- Animal Science and Zoology top 0.5%
- Animal Virus Infections Studies 37
- Parasitology top 1%
- Vector-borne infectious diseases 26
- Genetics top 1%
- Virus-based gene therapy research 52
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- Mosquito-borne diseases and control 36
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- Insect symbiosis and bacterial influences 6
- Co-authors
- James B. WolfinbargerSonja M. BestRichard RaceBent AastedDanielle K. OfferdahlBruce ChesebroLuwanika MleraDana Mitzel
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Marshall E. Bloom
108 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 106
- Infectious Diseases 2.2k
- Animal Science and Zoology 1000
- Parasitology 561
- Genetics 1.4k
- Public Health, Environmental and Occupational Health 1.1k
Countries citing papers authored by Marshall E. Bloom
This map shows the geographic impact of Marshall E. 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 Marshall E. Bloom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marshall E. Bloom more than expected).
Fields of papers citing papers by Marshall E. Bloom
This network shows the impact of papers produced by Marshall E. 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 Marshall E. Bloom. The network helps show where Marshall E. Bloom may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marshall E. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2020 | 5 | |
| 3 | 2019 | 85 | |
| 4 | 2017 | 10 | |
| 5 | 2017 | 37 | |
| 6 | 2016 | 38 | |
| 7 | 2012 | 12 | |
| 8 | 2012 | 81 | |
| 9 | 2012 | 51 | |
| 10 | 2011 | 1 | |
| 11 | 2010 | 18 | |
| 12 | 2009 | 2 | |
| 13 | 2008 | 28 | |
| 14 | 2007 | 39 | |
| 15 | 2005 | 18 | |
| 16 | 2004 | 39 | |
| 17 | 2001 | 9 | |
| 18 | 1998 | 9 | |
| 19 | Evaluation of the polymerase chain reaction [ PCR ] as a tool for diagnosing infections with the Aleutian mink disease parvovirus [ ADV ] and for discriminating among various ADV isolates | 1996 | 2 |
| 20 | 1989 | 20 |
About Marshall E. Bloom
Marshall E. Bloom is a scholar working on Infectious Diseases, Parasitology, Animal Science and Zoology, Genetics and Chemical Health and Safety, having authored 108 papers that have together received 3.7k indexed citations. Recurring topics across this work include Virus-based gene therapy research (52 papers), Animal Virus Infections Studies (37 papers), Viral Infections and Vectors (37 papers), Mosquito-borne diseases and control (36 papers), Parvovirus B19 Infection Studies (31 papers), Vector-borne infectious diseases (26 papers), Viral gastroenteritis research and epidemiology (16 papers) and Insect symbiosis and bacterial influences (6 papers). The work is most often cited by research in Infectious Diseases (2.2k citations), Animal Science and Zoology (1000 citations), Parasitology (561 citations), Genetics (1.4k citations) and Public Health, Environmental and Occupational Health (1.1k citations). Marshall E. Bloom has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include James B. Wolfinbarger, Sonja M. Best, Richard Race, Bent Aasted, Danielle K. Offerdahl, Bruce Chesebro, Luwanika Mlera, Dana Mitzel, Uwe Truyen and Shelly J. Robertson. Their work appears in journals such as Journal of Virology, Virology, Viruses, Archives of Virology and mBio.
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.