David C. Griffith

66 papers receiving 2.9k citations

Peers

David C. Griffith
Comparison fields: 5 of 118
  • Molecular Medicine 1.6k
  • Applied Microbiology and Biotechnology 401
  • Pharmacology 1.1k
  • Endocrinology 295
  • Clinical Biochemistry 149
Replace Ayman M. Noreddin with:
Ayman M. Noreddin United States
Jared L. Crandon United States
Leanne B. Gasink United States
Giannoula S. Tansarli United States
Thomas Tängdén Sweden
Mesut Yılmaz Türkiye
Roni Bitterman Israel
Özlem Kurt Azap Türkiye
Lütfiye Mülazımoğlu Türkiye
Luisa Sorlí Spain
David C. Griffith relative to Ayman M. Noreddin United States Ayman M. Noreddin's profile →
Citations per field
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Citations per year

Countries citing papers authored by David C. Griffith

Since Specialization
Citations

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

Fields of papers citing papers by David C. Griffith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David C. Griffith. 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 David C. Griffith. The network helps show where David C. Griffith may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018383
2 2017305
3 2018271
4 2020191
5 2006189
6 1997185
7 2022123
8 2015103
9 201872
10 201671
11 201164
12 200952
13 201851
14 200947
15 201844
16 202144
17 201741
18 202041
19 201041
20 200840

About David C. Griffith

David C. Griffith is a scholar working on Molecular Medicine, Pharmacology, Infectious Diseases, Applied Microbiology and Biotechnology and Epidemiology, having authored 67 papers that have together received 3.0k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (39 papers), Antibiotics Pharmacokinetics and Efficacy (38 papers), HIV/AIDS Research and Interventions (9 papers), Cystic Fibrosis Research Advances (9 papers), Pneumonia and Respiratory Infections (7 papers), Inhalation and Respiratory Drug Delivery (6 papers), Antibiotic Use and Resistance (6 papers) and Pneumocystis jirovecii pneumonia detection and treatment (5 papers). The work is most often cited by research in Molecular Medicine (1.6k citations), Applied Microbiology and Biotechnology (401 citations), Pharmacology (1.1k citations), Endocrinology (295 citations) and Clinical Biochemistry (149 citations). David C. Griffith has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Michael N. Dudley, Mojgan Sabet, Olga Lomovskaya, Ziad Tarazi, Debora Rubio-Aparicio, Mark A. Miller, Louise A. Kelly‐Hope, Dongxu Sun, Ruslan Tsivkovski and Kirk J. Nelson. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Open Forum Infectious Diseases, The Journal of Antibiotics, Journal of Adolescent Health and Journal of Cystic Fibrosis.

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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