Erik D. Wold

609 total citations
10 papers, 498 citations indexed

About

Erik D. Wold is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Oncology. According to data from OpenAlex, Erik D. Wold has authored 10 papers receiving a total of 498 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Erik D. Wold's work include Monoclonal and Polyclonal Antibodies Research (7 papers), HER2/EGFR in Cancer Research (4 papers) and Chemical Synthesis and Analysis (2 papers). Erik D. Wold is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (7 papers), HER2/EGFR in Cancer Research (4 papers) and Chemical Synthesis and Analysis (2 papers). Erik D. Wold collaborates with scholars based in United States, Switzerland and France. Erik D. Wold's co-authors include Vaughn V. Smider, Chan Hyuk Kim, Peter G. Schultz, Jun Y. Axup, Stephanie A. Kazane, Alan F. Wahl, Trevor J. Hallam, Anna Dubrovska, Jennifer L. Furman and Sophie Sun and has published in prestigious journals such as Journal of the American Chemical Society, PLoS Pathogens and Bioconjugate Chemistry.

In The Last Decade

Erik D. Wold

10 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik D. Wold United States 8 351 226 158 155 40 10 498
Paul C. Klauser United States 9 331 0.9× 117 0.5× 86 0.5× 213 1.4× 33 0.8× 11 462
Chris Leiske United States 7 298 0.8× 322 1.4× 322 2.0× 145 0.9× 56 1.4× 10 562
Annette Buntz Germany 9 272 0.8× 40 0.2× 82 0.5× 88 0.6× 80 2.0× 12 396
Xiaofan Li United States 10 257 0.7× 274 1.2× 219 1.4× 104 0.7× 24 0.6× 17 508
David Hymel United States 11 263 0.7× 108 0.5× 185 1.2× 106 0.7× 60 1.5× 25 420
Avinash Gill United States 10 335 1.0× 265 1.2× 146 0.9× 65 0.4× 26 0.7× 12 520
Tsotne Javahishvili United States 10 263 0.7× 124 0.5× 107 0.7× 62 0.4× 33 0.8× 12 365
Melissa A. Gray United States 9 569 1.6× 138 0.6× 150 0.9× 181 1.2× 44 1.1× 17 709
Johannes T.‐H. Yeh United States 8 529 1.5× 113 0.5× 101 0.6× 163 1.1× 19 0.5× 13 586
Calise Bahou United Kingdom 11 189 0.5× 190 0.8× 165 1.0× 147 0.9× 67 1.7× 15 391

Countries citing papers authored by Erik D. Wold

Since Specialization
Citations

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

Fields of papers citing papers by Erik D. Wold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik D. Wold. 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 Erik D. Wold. The network helps show where Erik D. Wold may publish in the future.

Co-authorship network of co-authors of Erik D. Wold

This figure shows the co-authorship network connecting the top 25 collaborators of Erik D. Wold. A scholar is included among the top collaborators of Erik D. Wold 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 Erik D. Wold. Erik D. Wold is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Forsyth, Katherine S., Nathan H. Roy, Erik D. Wold, et al.. (2020). Ectromelia-encoded virulence factor C15 specifically inhibits antigen presentation to CD4+ T cells post peptide loading. PLoS Pathogens. 16(8). e1008685–e1008685. 6 indexed citations
2.
Vyvyan, James R., et al.. (2017). Synthesis of substituted Z-styrenes by Hiyama-type coupling of oxasilacycloalkenes: application to the synthesis of a 1-benzoxocane. Beilstein Journal of Organic Chemistry. 13. 2122–2127. 2 indexed citations
3.
Wold, Erik D. & Vaughn V. Smider. (2016). Antibody Therapeutics in Oncology. PubMed. 2(1). 15 indexed citations
4.
Wold, Erik D., Ryan McBride, Jun Y. Axup, Stephanie A. Kazane, & Vaughn V. Smider. (2015). Antibody Microarrays Utilizing Site-Specific Antibody–Oligonucleotide Conjugates. Bioconjugate Chemistry. 26(5). 807–811. 15 indexed citations
5.
Wold, Erik D., Jun Y. Axup, Brunhilde H. Felding, & Vaughn V. Smider. (2015). Fc-Small Molecule Antibody Mimetics. Bioconjugate Chemistry. 26(12). 2311–2314. 7 indexed citations
6.
Hallam, Trevor J., Erik D. Wold, Alan F. Wahl, & Vaughn V. Smider. (2015). Antibody Conjugates with Unnatural Amino Acids. Molecular Pharmaceutics. 12(6). 1848–1862. 97 indexed citations
7.
Santidrián, Antonio F., Sarah E. LeBoeuf, Erik D. Wold, et al.. (2014). Nicotinamide phosphoribosyltransferase can affect metastatic activity and cell adhesive functions by regulating integrins in breast cancer. DNA repair. 23. 79–87. 32 indexed citations
8.
Furman, Jennifer L., Mingchao Kang, Seihyun Choi, et al.. (2014). A Genetically Encoded aza-Michael Acceptor for Covalent Cross-Linking of Protein–Receptor Complexes. Journal of the American Chemical Society. 136(23). 8411–8417. 96 indexed citations
9.
Kim, Chan Hyuk, Jun Y. Axup, Anna Dubrovska, et al.. (2012). Synthesis of Bispecific Antibodies using Genetically Encoded Unnatural Amino Acids. Journal of the American Chemical Society. 134(24). 9918–9921. 144 indexed citations
10.
Kazane, Stephanie A., Jun Y. Axup, Chan Hyuk Kim, et al.. (2012). Self-Assembled Antibody Multimers through Peptide Nucleic Acid Conjugation. Journal of the American Chemical Society. 135(1). 340–346. 84 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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