Avery Goodwin

1.2k citations
10 papers · 874 indexed · h-index 9

Avery Goodwin

10 papers receiving 840 citations

Peers

Avery Goodwin
Comparison fields: 5 of 74
  • Small Animals 223
  • Infectious Diseases 317
  • Molecular Medicine 66
  • Parasitology 75
  • Surgery 510
Replace Jin-Yong Jeong with:
Jin-Yong Jeong South Korea
Paweł Krzyżek Poland
Norma Velázquez‐Guadarrama Mexico
Tahereh Falsafi Iran
Andrew A. McColm United Kingdom
T Iwahi Japan
Igor N. Olekhnovich United States
C A Sanders United States
Prachetash Ghosh India
Jeremy J. Gilbreath United States
Avery Goodwin relative to Jin-Yong Jeong South Korea Jin-Yong Jeong's profile →
Citations per field
00.5×4.7×
Jin-Yong Jeong · 1×
Citations per year

Countries citing papers authored by Avery Goodwin

Since Specialization
Citations

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

Fields of papers citing papers by Avery Goodwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

10 of 10 papers shown
#Work
1 202411
2 20241
3 202038
4 200948
5 2002148
6 2000109
7 199968
8 1998293
9 199863
10 199695

About Avery Goodwin

Avery Goodwin is a scholar working on Applied Microbiology and Biotechnology, Small Animals, Infectious Diseases, Molecular Medicine and Anesthesiology and Pain Medicine, having authored 10 papers that have together received 874 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (7 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Microbial Metabolites in Food Biotechnology (2 papers), Veterinary medicine and infectious diseases (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Biochemical and Molecular Research (2 papers), Mycobacterium research and diagnosis (2 papers) and Poisoning and overdose treatments (1 paper). The work is most often cited by research in Small Animals (223 citations), Infectious Diseases (317 citations), Molecular Medicine (66 citations), Parasitology (75 citations) and Surgery (510 citations). Avery Goodwin has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Paul S. Hoffman, Douglas E. Berg, Gary Sisson, Dangeruta Kersulyte, S. J. O. Veldhuyzen van Zanten, Aušra Raudonikiene, Nicky J. Hughes, Asish K. Mukhopadhyay, Kirk Magee and S J Veldhuyzen van Zanten. Their work appears in journals such as Journal of Bacteriology, Antimicrobial Agents and Chemotherapy, Molecular Microbiology, Clinical Infectious Diseases and Infection and Immunity.

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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