Matthew E. Griffith

1.4k citations
27 papers · 932 indexed · h-index 17

Impact in

Papers in

Matthew E. Griffith

26 papers receiving 901 citations

Peers

Matthew E. Griffith
Comparison fields: 5 of 83
  • Molecular Medicine 315
  • Parasitology 178
  • Endocrinology 132
  • Applied Microbiology and Biotechnology 52
  • Clinical Biochemistry 122
Replace Mehmet Parlak with:
Mehmet Parlak Türkiye
Philip M. Tierno United States
C. Kenneth McAllister United States
E. Espejo Spain
Sheila Abner United States
Lisa L. Dever United States
Tuba Dal Türkiye
J. Dave United Kingdom
Niranjan Nayak India
V.O. Rotimi Kuwait
Matthew E. Griffith relative to Mehmet Parlak Türkiye Mehmet Parlak's profile →
Citations per field
00.5×2.7×
Mehmet Parlak · 1×
Citations per year

Countries citing papers authored by Matthew E. Griffith

Since Specialization
Citations

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

Fields of papers citing papers by Matthew E. Griffith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20131
3 201223
4 201220
5 201112
6 20117
7 20117
8 200928
9 200966
10 200825
11 200850
12 200714
13 200788
14 200748
15 200721
16 200611
17 2006106
18 200660
19 20062
20
Are nurse practitioners merely substitute doctors?
19963

About Matthew E. Griffith

Matthew E. Griffith is a scholar working on Molecular Medicine, Parasitology, Endocrinology, Infectious Diseases and Clinical Biochemistry, having authored 27 papers that have together received 932 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (9 papers), Leptospirosis research and findings (8 papers), Vibrio bacteria research studies (4 papers), Antimicrobial Resistance in Staphylococcus (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Viral Infections and Vectors (3 papers), Antifungal resistance and susceptibility (2 papers) and Burn Injury Management and Outcomes (2 papers). The work is most often cited by research in Molecular Medicine (315 citations), Parasitology (178 citations), Endocrinology (132 citations), Applied Microbiology and Biotechnology (52 citations) and Clinical Biochemistry (122 citations). Matthew E. Griffith has collaborated with scholars based in United States, Iraq and Vietnam. Frequent co-authors include Duane R. Hospenthal, Clinton K. Murray, Joshua S. Hawley, James H. Jorgensen, Steven E. Wolf, Michael W. Ellis, Katrin Mende, Roseanne Ressner, John B. Holcomb and Letitia C. Fulcher. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Infection Control and Hospital Epidemiology, Diagnostic Microbiology and Infectious Disease, Journal of Clinical Microbiology and Journal of the American College of Surgeons.

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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