John E. Weldon

1.1k total citations
18 papers, 871 citations indexed

About

John E. Weldon is a scholar working on Biotechnology, Immunology and Molecular Biology. According to data from OpenAlex, John E. Weldon has authored 18 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biotechnology, 10 papers in Immunology and 8 papers in Molecular Biology. Recurrent topics in John E. Weldon's work include Toxin Mechanisms and Immunotoxins (10 papers), Transgenic Plants and Applications (9 papers) and Glycosylation and Glycoproteins Research (3 papers). John E. Weldon is often cited by papers focused on Toxin Mechanisms and Immunotoxins (10 papers), Transgenic Plants and Applications (9 papers) and Glycosylation and Glycoproteins Research (3 papers). John E. Weldon collaborates with scholars based in United States, United Kingdom and Spain. John E. Weldon's co-authors include Ira Pastan, Laiman Xiang, Robert J. Kreitman, Richard Beers, Masanori Onda, David J. FitzGerald, Inger Margulies, Oleg Chertov, S. Patricia Becerra and Byung Kook Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

John E. Weldon

17 papers receiving 860 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
John E. Weldon United States 13 507 400 334 247 105 18 871
I Pastan United States 17 470 0.9× 385 1.0× 257 0.8× 351 1.4× 249 2.4× 20 970
Ronit Mazor United States 16 474 0.9× 335 0.8× 319 1.0× 308 1.2× 123 1.2× 25 811
Richard Beers United States 26 960 1.9× 908 2.3× 582 1.7× 680 2.8× 387 3.7× 34 2.0k
Ricarda Finnern Germany 20 466 0.9× 1.1k 2.7× 320 1.0× 1.1k 4.4× 364 3.5× 30 1.8k
Mahdi Habibi‐Anbouhi Iran 19 302 0.6× 589 1.5× 71 0.2× 452 1.8× 181 1.7× 68 975
R. Broeze United States 12 342 0.7× 487 1.2× 79 0.2× 114 0.5× 152 1.4× 24 841
Joost A. Kolkman Netherlands 14 165 0.3× 580 1.4× 52 0.2× 389 1.6× 109 1.0× 18 1.0k
V K Chaudhary United States 12 488 1.0× 426 1.1× 348 1.0× 285 1.2× 48 0.5× 15 816
Regina A. Hodits Austria 8 162 0.3× 810 2.0× 172 0.5× 723 2.9× 72 0.7× 11 1.1k
Mark Till United States 10 747 1.5× 339 0.8× 455 1.4× 385 1.6× 115 1.1× 12 991

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-authorship network of co-authors of John E. Weldon

This figure shows the co-authorship network connecting the top 25 collaborators of John E. Weldon. A scholar is included among the top collaborators of John E. Weldon based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John E. Weldon. John E. Weldon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Soto, Ana Maria, et al.. (2025). Faculty rewards from course-based undergraduate research experiences (CURE) in biochemistry. Journal of Microbiology and Biology Education. 26(1). e0016524–e0016524.
2.
3.
Weldon, John E., et al.. (2019). Evaluating the influence of common antibiotics on the efficacy of a recombinant immunotoxin in tissue culture. BMC Research Notes. 12(1). 293–293. 5 indexed citations
4.
Weldon, John E., et al.. (2018). Investigation of amino acid specificity in the CydX small protein shows sequence plasticity at the functional level. PLoS ONE. 13(6). e0198699–e0198699. 8 indexed citations
5.
Weldon, John E., et al.. (2015). Designing the Furin-Cleavable Linker in Recombinant Immunotoxins Based on Pseudomonas Exotoxin A. Bioconjugate Chemistry. 26(6). 1120–1128. 26 indexed citations
6.
Weldon, John E., Laiman Xiang, Jingli Zhang, et al.. (2012). A Recombinant Immunotoxin against the Tumor-Associated Antigen Mesothelin Reengineered for High Activity, Low Off-Target Toxicity, and Reduced Antigenicity. Molecular Cancer Therapeutics. 12(1). 48–57. 77 indexed citations
7.
Mazor, Ronit, Richard Beers, John E. Weldon, et al.. (2012). Identification and elimination of an immunodominant T-cell epitope in recombinant immunotoxins based onPseudomonasexotoxin A. Proceedings of the National Academy of Sciences. 109(51). E3597–603. 77 indexed citations
8.
Liu, Wenjie, Masanori Onda, Chulyoung Kim, et al.. (2011). A recombinant immunotoxin engineered for increased stability by adding a disulfide bond has decreased immunogenicity. Protein Engineering Design and Selection. 25(1). 1–6. 26 indexed citations
9.
Weldon, John E. & Ira Pastan. (2011). A guide to taming a toxin – recombinant immunotoxins constructed from Pseudomonas exotoxin A for the treatment of cancer. FEBS Journal. 278(23). 4683–4700. 198 indexed citations
10.
Pastan, Ira, Masanori Onda, John E. Weldon, David FitzGerald, & Robert J. Kreitman. (2011). Immunotoxins with decreased immunogenicity and improved activity. Leukemia & lymphoma. 52(sup2). 87–90. 12 indexed citations
11.
Onda, Masanori, Richard Beers, Laiman Xiang, et al.. (2011). Recombinant immunotoxin against B-cell malignancies with no immunogenicity in mice by removal of B-cell epitopes. Proceedings of the National Academy of Sciences. 108(14). 5742–5747. 90 indexed citations
12.
Hansen, Johanna K., John E. Weldon, Laiman Xiang, et al.. (2010). A Recombinant Immunotoxin Targeting CD22 With Low Immunogenicity, Low Nonspecific Toxicity, and High Antitumor Activity in Mice. Journal of Immunotherapy. 33(3). 297–304. 31 indexed citations
13.
Becerra, S. Patricia, Alberto Pérez‐Mediavilla, John E. Weldon, et al.. (2008). Pigment Epithelium-derived Factor Binds to Hyaluronan. Journal of Biological Chemistry. 283(48). 33310–33320. 42 indexed citations
14.
Weldon, John E., Laiman Xiang, Oleg Chertov, et al.. (2008). A protease-resistant immunotoxin against CD22 with greatly increased activity against CLL and diminished animal toxicity. Blood. 113(16). 3792–3800. 136 indexed citations
15.
Weldon, John E. & Robert Schleif. (2006). Specific interactions by the N‐terminal arm inhibit self‐association of the AraC dimerization domain. Protein Science. 15(12). 2828–2835. 8 indexed citations
16.
Weldon, John E., Michael E. Rodgers, Christopher Larkin, & Robert Schleif. (2006). Structure and properties of a truely apo form of AraC dimerization domain. Proteins Structure Function and Bioinformatics. 66(3). 646–654. 30 indexed citations
17.
Alberdi, Elena, John E. Weldon, & S. Patricia Becerra. (2003). Glycosaminoglycans in human retinoblastoma cells: Heparan sulfate, a modulator of the pigment epithelium-derived factor-receptor interactions. BMC Biochemistry. 4(1). 1–1. 37 indexed citations
18.
Bessman, Maurice, Joseph D. Walsh, Christopher Dunn, et al.. (2001). The Gene ygdP, Associated with the Invasiveness ofEscherichia coli K1, Designates a Nudix Hydrolase, Orf176, Active on Adenosine (5′)-Pentaphospho-(5′)-adenosine (Ap5A). Journal of Biological Chemistry. 276(41). 37834–37838. 67 indexed citations

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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