Francis L. Black

4.6k citations
112 papers · 3.2k indexed · h-index 34

Francis L. Black

111 papers receiving 2.7k citations

Peers

Francis L. Black
Comparison fields: 5 of 150
  • Health 320
  • Infectious Diseases 681
  • Epidemiology 1.2k
  • Immunology 757
  • Modeling and Simulation 162
Replace Frank Fenner with:
Frank Fenner Australia
Philip R. Krause United States
Tino F. Schwarz Germany
Neal Nathanson United States
W. Paul Duprex United States
Rory D. de Vries Netherlands
Aris Katzourakis United Kingdom
Margaret Pinder United Kingdom
Hinh Ly United States
Elaine W. Lamirande United States
Francis L. Black relative to Frank Fenner Australia Frank Fenner's profile →
Citations per field
00.5×3.1×
Frank Fenner · 1×
Citations per year

Countries citing papers authored by Francis L. Black

Since Specialization
Citations

This map shows the geographic impact of Francis L. 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 Francis L. Black with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francis L. Black more than expected).

Fields of papers citing papers by Francis L. Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francis L. 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 Francis L. Black. The network helps show where Francis L. Black may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Francis L. Black, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francis L. Black Line = papers co-authored together Francis L. Black links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20049
2 200221
3 2000155
4 19977
5 199621
6 199449
7 199425
8
Studies of three Amerindian populations using nuclear DNA polymorphisms.
199186
9 199121
10 19905
11 19902
12 19884
13 198719
14 198685
15 198238
16
Control Processes in Virus Multiplication
197637
17
RESPONSE OF ADULTS IN ICELAND TO LIVE ATTENUATED MEASLES VACCINE.
19646
18 19638
19
Virus Growth and Variation.
196043
20 195951

About Francis L. Black

Francis L. Black is a scholar working on Epidemiology, Immunology and Health, having authored 112 papers that have together received 3.2k indexed citations. Recurring topics across this work include Virology and Viral Diseases (36 papers), Immune responses and vaccinations (15 papers), Vaccine Coverage and Hesitancy (12 papers), Respiratory viral infections research (11 papers), Viral Infections and Immunology Research (9 papers), Animal Disease Management and Epidemiology (9 papers), T-cell and B-cell Immunology (9 papers) and Virus-based gene therapy research (8 papers). The work is most often cited by research in Health (320 citations), Infectious Diseases (681 citations) and Epidemiology (1.2k citations). Francis L. Black has collaborated with scholars based in United States, Brazil and Denmark. Frequent co-authors include Joseph L. Melnick, Philip W. Hedrick, Francisco M. Salzano, Robert J. Biggar, Walter J. Hierholzer, Denise Whitby, Vickie Marshall, Alexandre C. Linhares, John P. Woodall and Janardan P. Pandey. Their work appears in journals such as Nature, Science and New England Journal of Medicine.

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.

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