Daniel Adams

45 papers receiving 1.2k citations

Peers

Daniel Adams
Comparison fields: 5 of 85
  • Virology 384
  • Parasitology 244
  • Agronomy and Crop Science 357
  • Animal Science and Zoology 180
  • Epidemiology 489
Replace Jon B. Huder with:
Jon B. Huder Switzerland
O. Papadopoulos Greece
Michelle R. Mousel United States
Nick De Regge Belgium
Elena Grego Italy
Tatsunori Masatani Japan
D. N. Tripathy United States
Caroline Argenta Pescador Brazil
A.G. Luckins United Kingdom
Marco Pittau Italy
Daniel Adams relative to Jon B. Huder Switzerland Jon B. Huder's profile →
Citations per field
00.5×2.5×
Jon B. Huder · 1×
Citations per year

Countries citing papers authored by Daniel Adams

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Adams

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Adams. 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 Daniel Adams. The network helps show where Daniel Adams may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980309
2 1996133
3 198588
4 202284
5 199768
6 198364
7
Chronic disease in goats orally infected with two isolates of the caprine arthritis-encephalitis lentivirus.
198864
8 200151
9 198049
10 198146
11
The gp135 of caprine arthritis encephalitis virus affords greater sensitivity than the p28 in immunodiffusion serology.
198642
12 199732
13 199032
14 198629
15 202219
16 198218
17 202217
18 199615
19 200013
20 202211

About Daniel Adams

Daniel Adams is a scholar working on Animal Science and Zoology, Epidemiology, Agronomy and Crop Science, Physiology and Immunology, having authored 49 papers that have together received 1.3k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (7 papers), Allergic Rhinitis and Sensitization (6 papers), Animal Virus Infections Studies (6 papers), Hepatitis B Virus Studies (6 papers), Asthma and respiratory diseases (6 papers), T-cell and Retrovirus Studies (6 papers), Animal Nutrition and Physiology (5 papers) and Veterinary medicine and infectious diseases (5 papers). The work is most often cited by research in Virology (384 citations), Parasitology (244 citations), Agronomy and Crop Science (357 citations), Animal Science and Zoology (180 citations) and Epidemiology (489 citations). Daniel Adams has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Timothy B. Crawford, William P. Cheevers, L. C. Cork, T C McGuire, J. R. Gorham, Keith L. Banks, J. P. Dubey, Angela E. Douglas, T V Baszler and Ramesh K. Selvaraj. Their work appears in journals such as Journal of Allergy and Clinical Immunology, American Journal of Veterinary Research, The Journal of Applied Poultry Research, Journal of the American Veterinary Medical Association and Frontiers in Physiology.

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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