Daniel Darnell

816 citations
15 papers · 423 · h-index 11

Impact in

Papers in

Daniel Darnell

15 papers receiving 418 citations

Peers

Daniel Darnell
Comparison fields: 5 of 43
  • Agronomy and Crop Science 288
  • Epidemiology 374
  • Infectious Diseases 190
  • Animal Science and Zoology 56
  • Modeling and Simulation 11
Replace Risa Indriani with:
Risa Indriani Indonesia
Gui‐Rong Bai Japan
Eric DeJesus United States
Hendra Wibawa Indonesia
Junki Mine Japan
Sungsu Youk United States
Edyta Świętoń Poland
Sahar Mahmood United Kingdom
Ngo Thanh Long Vietnam
Phouvong Phommachanh Laos
Daniel Darnell relative to Risa Indriani Indonesia Risa Indriani's profile →
Citations per field
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Risa Indriani · 1×
Citations per year

Countries citing papers authored by Daniel Darnell

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Darnell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2011157
2 201254
3 201743
4 201228
5 201526
6 201721
7 201516
8 201916
9 201114
10 201213
11 201512
12 201210
13 201510
14 20232
15
Molecular characterization of influenza a viruses from swine for potential virulence markers
20101

About Daniel Darnell

Daniel Darnell is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Animal Science and Zoology and Surgery, having authored 15 papers that have together received 423 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (13 papers), Animal Disease Management and Epidemiology (10 papers), Respiratory viral infections research (7 papers), Viral Infections and Vectors (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Virus Infections Studies (2 papers), RNA and protein synthesis mechanisms (1 paper) and Congenital gastrointestinal and neural anomalies (1 paper). The work is most often cited by research in Agronomy and Crop Science (288 citations), Epidemiology (374 citations), Infectious Diseases (190 citations), Animal Science and Zoology (56 citations) and Modeling and Simulation (11 citations). Daniel Darnell has collaborated with scholars based in United States, Singapore and Hungary. Frequent co-authors include Richard J. Webby, Adam Rubrum, Marie Gramer, James Lowe, Evelyn Stigger-Rosser, Mariette Ducatez, Robert G. Webster, Ben M. Hause, Randy R. Simonson and Ashley Webb. Their work appears in journals such as Emerging infectious diseases, Influenza and Other Respiratory Viruses, Journal of Virology, mBio and Emerging Microbes & Infections.

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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