Daniel R. Frederick

645 citations
12 papers · 480 · h-index 9

Impact in

    • Antibiotic Resistance in Bacteria
    • Escherichia coli research studies
    • Vibrio bacteria research studies
    • Enterobacteriaceae and Cronobacter Research

Papers in

    • Immunotherapy and Immune Responses 2
    • Inflammation biomarkers and pathways 1
    • Escherichia coli research studies 3

Daniel R. Frederick

12 papers receiving 471 citations

Peers

Daniel R. Frederick
Comparison fields: 5 of 96
  • Molecular Medicine 202
  • Endocrinology 132
  • Critical Care and Intensive Care Medicine 26
  • Immunology 86
  • Infectious Diseases 75
Replace Erick Denamur with:
Erick Denamur France
W. M. Prodinger Austria
B. Panzig Germany
Junichi Fujimoto Japan
Muneo Hikida Japan
Tessa M. Andermann United States
Cha‐Ze Lee Taiwan
Laura Berneking Germany
Lingxiao Jiang China
Etsu T. Fuse Japan
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Citations per field
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Citations per year

Countries citing papers authored by Daniel R. Frederick

Since Specialization
Citations

This map shows the geographic impact of Daniel R. Frederick'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. Frederick 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. Frederick more than expected).

Fields of papers citing papers by Daniel R. Frederick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2019140
2 201891
3 201464
4 201742
5 201335
6 201430
7 199629
8 201627
9 201212
10 20055
11 20113
12
Plasmid DNA Analysis of Pasteurella multocida Serotype B isolated from Haemorrhagic Septicaemia outbreaks in Malaysia
20052

About Daniel R. Frederick

Daniel R. Frederick is a scholar working on Immunology, Endocrinology, Virology, Epidemiology and Molecular Medicine, having authored 12 papers that have together received 480 indexed citations. Recurring topics across this work include Escherichia coli research studies (3 papers), Antibiotic Resistance in Bacteria (2 papers), Rabies epidemiology and control (2 papers), Immunotherapy and Immune Responses (2 papers), Sepsis Diagnosis and Treatment (2 papers), Microbial infections and disease research (2 papers), Inflammation biomarkers and pathways (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Molecular Medicine (202 citations), Endocrinology (132 citations), Critical Care and Intensive Care Medicine (26 citations), Immunology (86 citations) and Infectious Diseases (75 citations). Daniel R. Frederick has collaborated with scholars based in United States, Poland and Austria. Frequent co-authors include Michelle Palacios, Taryn A. Miner, Victoria E. Sepúlveda, Virginia L. Miller, Kimberly A. Walker, Christopher A. Broberg, James B. McLachlan, Julie L. Lockwood, Michael L. McKinney and Lin Zhu. Their work appears in journals such as Critical Care, mBio, Palaeogeography Palaeoclimatology Palaeoecology, Infection and Immunity and Nature Communications.

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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