Daniel J. Williamson

521 citations
19 papers · 341 · h-index 10

Impact in

    • Peptidase Inhibition and Analysis
    • Biochemical and Structural Characterization
    • Glycosylation and Glycoproteins Research
    • Chemical Synthesis and Analysis

Papers in

Daniel J. Williamson

16 papers receiving 331 citations

Peers

Daniel J. Williamson
Comparison fields: 5 of 53
  • Oncology 86
  • Molecular Biology 221
  • Public Health, Environmental and Occupational Health 78
  • Biotechnology 17
  • Radiology, Nuclear Medicine and Imaging 37
Replace Esmeralda Woestenenk with:
Esmeralda Woestenenk Sweden
Rebecca E. Brown United States
Ben-chang Shen China
Ruhu Qi Australia
Yong‐In Kim South Korea
Kelly A. Robinson United States
Shikha Singh India
Jorick Vanbeselaere Austria
Jungjoon K. Lee South Korea
Nicholas Spellmon United States
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Citations per field
00.5×5.6×
Esmeralda Woestenenk · 1×
Citations per year

Countries citing papers authored by Daniel J. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 2012116
2 201853
3 201441
4 201229
5 201825
6 201611
7 202010
8 20169
9 20159
10 20229
11 20218
12 20237
13 20227
14 20234
15 20241
16 20191
17 20191
18 20250
19 20250

About Daniel J. Williamson

Daniel J. Williamson is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Oncology, Infectious Diseases and Organic Chemistry, having authored 19 papers that have together received 341 indexed citations. Recurring topics across this work include Biochemical and Structural Characterization (7 papers), Mosquito-borne diseases and control (6 papers), Malaria Research and Control (4 papers), Glycosylation and Glycoproteins Research (3 papers), Peptidase Inhibition and Analysis (3 papers), Viral Infections and Vectors (3 papers), Chemical Synthesis and Analysis (3 papers) and Click Chemistry and Applications (2 papers). The work is most often cited by research in Oncology (86 citations), Molecular Biology (221 citations), Public Health, Environmental and Occupational Health (78 citations), Biotechnology (17 citations) and Radiology, Nuclear Medicine and Imaging (37 citations). Daniel J. Williamson has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Michael E. Webb, W. Bruce Turnbull, Martin A. Fascione, Kacey C. Ernst, Chris A. Schmidt, Andrew J. Monaghan, Kathleen Walker, Yves Carrière, Mary H. Hayden and Paul A. Beales. Their work appears in journals such as Journal of Medical Entomology, Angewandte Chemie International Edition, Molecular Cancer Therapeutics, Nature Protocols and Insects.

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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