Laurel E. Black

44 papers receiving 777 citations

Peers

Laurel E. Black
Comparison fields: 5 of 85
  • Agronomy and Crop Science 240
  • Cardiology and Cardiovascular Medicine 260
  • Ecology, Evolution, Behavior and Systematics 142
  • Animal Science and Zoology 60
  • Immunology 110
Replace Jose F. Moura Nunes with:
Jose F. Moura Nunes Portugal
Ottheinz Krebs Germany
Yinghong Ma United States
Manuela Heimann Germany
Linda J. Visser Netherlands
R. Emanoil‐Ravier France
M S McBride United States
Masaya Fukushi Japan
R V Guntaka United States
Ada Yukht United States
Laurel E. Black relative to Jose F. Moura Nunes Portugal Jose F. Moura Nunes's profile →
Citations per field
00.5×2×4×6.6×
Jose F. Moura Nunes · 1×
Citations per year

Countries citing papers authored by Laurel E. Black

Since Specialization
Citations

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

Fields of papers citing papers by Laurel E. Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Laurel E. 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 Laurel E. Black Line = papers co-authored together Laurel E. Black links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002106
2 2011102
3 201564
4 201954
5 198340
6 198338
7 198437
8 201133
9 198429
10 198623
11 201222
12 201421
13 201620
14 201319
15 201717
16 197516
17 201915
18 201015
19 198213
20 198613

About Laurel E. Black

Laurel E. Black is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Animal Science and Zoology, Ecology, Evolution, Behavior and Systematics and Immunology, having authored 44 papers that have together received 845 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (19 papers), Viral Infections and Immunology Research (18 papers), Animal Virus Infections Studies (9 papers), Vector-Borne Animal Diseases (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Craniofacial Disorders and Treatments (3 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Agronomy and Crop Science (240 citations), Cardiology and Cardiovascular Medicine (260 citations), Ecology, Evolution, Behavior and Systematics (142 citations), Animal Science and Zoology (60 citations) and Immunology (110 citations). Laurel E. Black has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Michael J. Francis, Peter M Hanson, Julapark Chunwongse, Steven Lewis Carroll, Jody Fromm Longo, Janardan P. Pandey, Mark M. Rweyemamu, Elizabeth J. Ouldridge, Robert E. Stroud and Francis G. Spinale. Their work appears in journals such as Research in Veterinary Science, American Journal Of Pathology, The Lancet, Journal of Immunological Methods and Human Immunology.

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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