John E. Weldon

1.1k citations
18 papers · 871 · h-index 13

Impact in

    • Transgenic Plants and Applications
    • Microbial Inactivation Methods
  • Immunology top 5%
    • Toxin Mechanisms and Immunotoxins

Papers in

    • Transgenic Plants and Applications 9
    • Microbial Inactivation Methods 3
    • Toxin Mechanisms and Immunotoxins 10

John E. Weldon

17 papers receiving 860 citations

Peers

John E. Weldon
Comparison fields: 5 of 74
  • Biotechnology 334
  • Immunology 507
  • Radiology, Nuclear Medicine and Imaging 247
  • Molecular Biology 400
  • Oncology 105
Replace D J FitzGerald with:
D J FitzGerald United States
Michelle Debatis United States
Denise R. Shaw United States
Thomas Van Blarcom United States
Samuel Salzberg Israel
I Pastan United States
Bijal A. Parikh United States
John Steven United Kingdom
R. Broeze United States
Ronit Mazor United States
John E. Weldon relative to D J FitzGerald United States D J FitzGerald's profile →
Citations per field
00.5×12.3×
D J FitzGerald · 1×
Citations per year

Countries citing papers authored by John E. Weldon

Since Specialization
Citations

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

Fields of papers citing papers by John E. Weldon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011198
2 2008136
3 201190
4 201277
5 201277
6 200167
7 200842
8 200337
9 201031
10 200630
11 201126
12 201526
13 201112
14 20068
15 20188
16 20195
17 20251
18 20250

About John E. Weldon

John E. Weldon is a scholar working on Biotechnology, Immunology, Molecular Biology, Materials Chemistry and Ecology, having authored 18 papers that have together received 871 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (10 papers), Transgenic Plants and Applications (9 papers), Enzyme Structure and Function (3 papers), Glycosylation and Glycoproteins Research (3 papers), Protein Structure and Dynamics (3 papers), Microbial Inactivation Methods (3 papers), Bacteriophages and microbial interactions (2 papers) and Plant Virus Research Studies (2 papers). The work is most often cited by research in Biotechnology (334 citations), Immunology (507 citations), Radiology, Nuclear Medicine and Imaging (247 citations), Molecular Biology (400 citations) and Oncology (105 citations). John E. Weldon has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Ira Pastan, Laiman Xiang, Robert J. Kreitman, Richard Beers, Masanori Onda, David J. FitzGerald, Oleg Chertov, Inger Margulies, S. Patricia Becerra and Byung Kook Lee. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Molecular Cancer Therapeutics, Blood and FEBS Journal.

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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