Darla H. Black
- Epidemiology top 10%
- Oncology
- Virology top 5%
- Parasitology top 10%
- Genetics
- Co-authors
- R. EberleJulia K. HilliardGary L. WhiteKazutaka OhsawaShaun TylerEarl L. BlewettNicholas W. LercheMark E. Payton
- Topics
- Herpesvirus Infections and Treatments (24 papers)Cytomegalovirus and herpesvirus research (23 papers)Viral-associated cancers and disorders (11 papers)
- Cited by
- VirologyParasitologyEpidemiology
- Partner nations
- United StatesJapanCanada
In The Last Decade
Darla H. Black
24 papers receiving 411 citations
Peers
Comparison fields: 5 of 41
- Epidemiology 373
- Oncology 103
- Virology 95
- Parasitology 70
- Genetics 62
Countries citing papers authored by Darla H. Black
This map shows the geographic impact of Darla H. Black'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 Darla H. Black with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darla H. Black more than expected).
Fields of papers citing papers by Darla H. Black
This network shows the impact of papers produced by Darla H. Black. 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 Darla H. Black. The network helps show where Darla H. Black may publish in the future.
Co-authorship network of co-authors of Darla H. Black
This figure shows the co-authorship network connecting the top 25 collaborators of Darla H. Black. A scholar is included among the top collaborators of Darla H. Black based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Darla H. Black. Darla H. Black is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 6 | |
| 3 | 10 | |
| 4 | 8 | |
| 5 | Papiine herpesvirus 2 as a predictive model for drug sensitivity of Macacine herpesvirus 1 (monkey B virus). | 7 |
| 6 | 28 | |
| 7 | 12 | |
| 8 | 3 | |
| 9 | 18 | |
| 10 | In vivo experimentation with simian herpesviruses: assessment of biosafety and molecular contamination. | 7 |
| 11 | 20 | |
| 12 | Comparative transmission of multiple herpesviruses and simian virus 40 in a baboon breeding colony. | 14 |
| 13 | Development of a green fluorescent protein reporter cell line to reduce biohazards associated with detection of infectious Cercopithecine herpesvirus 1 (monkey B virus) in clinical specimens. | 8 |
| 14 | 24 | |
| 15 | 43 | |
| 16 | 35 | |
| 17 | 17 | |
| 18 | 16 | |
| 19 | 40 | |
| 20 | 49 |
About Darla H. Black
Darla H. Black is a scholar working on Virology, Epidemiology and Oncology, having authored 24 papers that have together received 419 indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (24 papers), Cytomegalovirus and herpesvirus research (23 papers) and Viral-associated cancers and disorders (11 papers). The work is most often cited by research in Virology (95 citations), Parasitology (70 citations) and Epidemiology (373 citations). Darla H. Black has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include R. Eberle, Julia K. Hilliard, Gary L. White, Kazutaka Ohsawa, Shaun Tyler, Earl L. Blewett, Nicholas W. Lerche, Mark E. Payton, Alberto Severini and Jerry W. Ritchey. Their work appears in journals such as Journal of Virology, Antimicrobial Agents and Chemotherapy and Virology.
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.