Daniel A. Green

2.2k citations
53 papers · 1.4k · h-index 19

Impact in

Papers in

    • Respiratory viral infections research 7
    • Mycobacterium research and diagnosis 3
    • Clostridium difficile and Clostridium perfringens research 6
    • SARS-CoV-2 detection and testing 4

Daniel A. Green

51 papers receiving 1.4k citations

Peers

Daniel A. Green
Comparison fields: 5 of 98
  • Applied Microbiology and Biotechnology 96
  • Molecular Medicine 164
  • Infectious Diseases 491
  • Clinical Biochemistry 159
  • Microbiology 96
Replace Marc Dangel with:
Marc Dangel Switzerland
In‐Gyu Bae South Korea
C. Ruef Switzerland
Bilgül Mete Türkiye
David M. Bamberger United States
Octavio Martínez United States
L. Bode Netherlands
Josep Mensa Spain
E.G. Smyth Ireland
Hélio Caiaffa-Filho Brazil
Daniel A. Green relative to Marc Dangel Switzerland Marc Dangel's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel A. Green

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Green

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020197
2 2020142
3 2020124
4 201974
5 201973
6 202067
7 201867
8 201665
9 201960
10 199659
11 201957
12 201852
13 200632
14 202029
15 202128
16 201626
17 201825
18 202322
19 199121
20 202017

About Daniel A. Green

Daniel A. Green is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Surgery and Clinical Biochemistry, having authored 53 papers that have together received 1.4k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (7 papers), Respiratory viral infections research (7 papers), Clostridium difficile and Clostridium perfringens research (6 papers), Bacterial Identification and Susceptibility Testing (5 papers), Bacterial Infections and Vaccines (5 papers), SARS-CoV-2 detection and testing (4 papers), Antibiotics Pharmacokinetics and Efficacy (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (96 citations), Molecular Medicine (164 citations), Infectious Diseases (491 citations), Clinical Biochemistry (159 citations) and Microbiology (96 citations). Daniel A. Green has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Susan Whittier, Marie C. Smithgall, William Greendyke, Jason Zucker, Niaz Banaei, Carlos A. Gómez, Omai B. Garner, Shangxin Yang, Jennifer Dien Bard and Benjamin A. Pinsky. Their work appears in journals such as Journal of Clinical Microbiology, Clinical Infectious Diseases, Open Forum Infectious Diseases, Gut Pathogens and Journal of the Pediatric Infectious Diseases Society.

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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