Daniel R. Dahling

1.2k citations
30 papers · 933 indexed · h-index 17

Daniel R. Dahling

30 papers receiving 766 citations

Peers

Daniel R. Dahling
Comparison fields: 5 of 81
  • Infectious Diseases 637
  • Water Science and Technology 193
  • Animal Science and Zoology 112
  • Cardiology and Cardiovascular Medicine 180
  • Endocrinology 35
Replace Jane Sellwood with:
Jane Sellwood United Kingdom
Gerald Berg United States
A. P. Wyn-Jones United Kingdom
Aaron B. Margolin United States
Timothy M. Straub United States
Carlos Enrı́quez United States
J. M. López-Pila Germany
Néstor Albiñana-Giménez Spain
G. S. Grohmann Australia
Douglas Wait United States
Daniel R. Dahling relative to Jane Sellwood United Kingdom Jane Sellwood's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel R. Dahling

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Dahling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201032
2 200524
3 200227
4 200038
5 199762
6 19939
7 19907
8 19891
9 19887
10 19888
11 19871
12 198674
13 198631
14 198431
15 19845
16 198411
17 198013
18 197868
19
BGM, a continuous cell line more sensitive than primary rhesus and African green kidney cells for the recovery of viruses from water.
1974106
20 197265

About Daniel R. Dahling

Daniel R. Dahling is a scholar working on Infectious Diseases, Animal Science and Zoology and Hepatology, having authored 30 papers that have together received 933 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (23 papers), SARS-CoV-2 detection and testing (10 papers), Animal Virus Infections Studies (6 papers), Respiratory viral infections research (5 papers), Virus-based gene therapy research (4 papers), Bacteriophages and microbial interactions (3 papers), Viral Infections and Immunology Research (3 papers) and Fecal contamination and water quality (3 papers). The work is most often cited by research in Infectious Diseases (637 citations), Water Science and Technology (193 citations) and Animal Science and Zoology (112 citations). Daniel R. Dahling has collaborated with scholars based in United States and China. Frequent co-authors include Gerald Berg, Betty A. Wright, G. Shay Fout, Daniel S. Berman, Robert S. Safferman, Donald Berman, G. Brown, Jennifer L. Cashdollar, Pasquale V. Scarpino and Shih L. Chang. Their work appears in journals such as Applied and Environmental Microbiology, Ozone Science and Engineering, Canadian Journal of Microbiology, Water Research and Environment International.

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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