Daniel R. Frederick

662 citations
12 papers · 503 · h-index 9

Impact in

Papers in

    • Escherichia coli research studies 3
    • Vibrio bacteria research studies 1
    • Immunotherapy and Immune Responses 2

Daniel R. Frederick

12 papers receiving 491 citations

Peers

Daniel R. Frederick
Comparison fields: 5 of 91
  • Molecular Medicine 204
  • Endocrinology 121
  • Infectious Diseases 72
  • Immunology 79
  • Microbiology 23
Replace B. Panzig with:
B. Panzig Germany
Britta L. Swanson United States
Lingxiao Jiang China
Junichi Fujimoto Japan
Ghislaine Descours France
T L Overman United States
Yusuke Ainoda Japan
Cha‐Ze Lee Taiwan
Sabine Schmoldt Germany
Norma Miller United States
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Citations per field
00.5×10×15×20×23.5×
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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 2019149
2 201897
3 201464
4 201743
5 201337
6 201432
7 199631
8 201627
9 201213
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 Endocrinology, Immunology, Virology, Molecular Medicine and Microbiology, having authored 12 papers that have together received 503 indexed citations. Recurring topics across this work include Escherichia coli research studies (3 papers), Immunotherapy and Immune Responses (2 papers), Microbial infections and disease research (2 papers), Rabies epidemiology and control (2 papers), Antibiotic Resistance in Bacteria (2 papers), Poxvirus research and outbreaks (1 paper), S100 Proteins and Annexins (1 paper) and Vibrio bacteria research studies (1 paper). The work is most often cited by research in Molecular Medicine (204 citations), Endocrinology (121 citations), Infectious Diseases (72 citations), Immunology (79 citations) and Microbiology (23 citations). Daniel R. Frederick has collaborated with scholars based in United States, Austria and Malaysia. Frequent co-authors include Michelle Palacios, Virginia L. Miller, Kimberly A. Walker, Taryn A. Miner, Victoria E. Sepúlveda, 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, Infection and Immunity, Mucosal Immunology and Palaeogeography Palaeoclimatology Palaeoecology.

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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