Stephen G. Simkins

481 total citations
7 papers, 415 citations indexed

About

Stephen G. Simkins is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Stephen G. Simkins has authored 7 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Immunology, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Stephen G. Simkins's work include Immunotherapy and Immune Responses (2 papers), Cervical Cancer and HPV Research (2 papers) and Acute Myeloid Leukemia Research (1 paper). Stephen G. Simkins is often cited by papers focused on Immunotherapy and Immune Responses (2 papers), Cervical Cancer and HPV Research (2 papers) and Acute Myeloid Leukemia Research (1 paper). Stephen G. Simkins collaborates with scholars based in United States, Germany and Netherlands. Stephen G. Simkins's co-authors include Mary Iacocca, Jinli Chang, Lihui Xu, Xihui Yang, William G. Cance, Janet Harris, Paul F. Agris, Cheryl I. Champion, Eric P. Dixon and D R Blanco and has published in prestigious journals such as The Journal of Immunology, Analytical Biochemistry and Journal of Immunological Methods.

In The Last Decade

Stephen G. Simkins

7 papers receiving 406 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen G. Simkins United States 6 245 225 120 116 97 7 415
Megumi Funakoshi Japan 7 205 0.8× 239 1.1× 103 0.9× 92 0.8× 111 1.1× 7 416
Clara Schreiner United States 7 303 1.2× 255 1.1× 133 1.1× 68 0.6× 109 1.1× 9 489
Qing An China 10 108 0.4× 329 1.5× 124 1.0× 61 0.5× 195 2.0× 10 471
Po-Chao Chan Taiwan 11 160 0.7× 277 1.2× 156 1.3× 50 0.4× 54 0.6× 13 440
Marina Slepak United States 8 172 0.7× 248 1.1× 110 0.9× 80 0.7× 50 0.5× 8 487
Angela Oppelt Norway 6 108 0.4× 191 0.8× 172 1.4× 50 0.4× 43 0.4× 6 358
Jessica Kalra Canada 11 75 0.3× 270 1.2× 54 0.5× 88 0.8× 71 0.7× 16 404
Timo Korb Germany 5 108 0.4× 113 0.5× 106 0.9× 219 1.9× 56 0.6× 5 359
Raymond Washington United States 8 70 0.3× 219 1.0× 64 0.5× 98 0.8× 93 1.0× 9 424
Mingjie Zheng United States 11 112 0.5× 394 1.8× 119 1.0× 53 0.5× 67 0.7× 23 496

Countries citing papers authored by Stephen G. Simkins

Since Specialization
Citations

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

Fields of papers citing papers by Stephen G. Simkins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen G. Simkins. 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 Stephen G. Simkins. The network helps show where Stephen G. Simkins may publish in the future.

Co-authorship network of co-authors of Stephen G. Simkins

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

All Works

7 of 7 papers shown
1.
Dixon, Eric P., Lorraine King, Stephen G. Simkins, et al.. (2017). Characterization and clinical validation of MCM2 and TOP2A monoclonal antibodies in the BD ProEx™ C assay: An immunoassay which detects aberrant S-phase induction in cervical tissue. Journal of Immunological Methods. 442. 35–41. 9 indexed citations
2.
Simkins, Stephen G., Steven L. Knapp, George H. Brough, et al.. (2011). Generation of Monoclonal Antibodies to the AML1-ETO Fusion Protein: Strategies for Overcoming High Homology. Hybridoma. 30(5). 433–443. 1 indexed citations
3.
Sampson, Susan D., Stephen G. Simkins, George H. Brough, et al.. (2011). The selection and characterization of antibodies to minichromosome maintenance proteins that highlight cervical dysplasia. Journal of Immunological Methods. 370(1-2). 1–13. 10 indexed citations
4.
Simkins, Stephen G., et al.. (2002). Identification and Quantification of Protecting Groups Remaining in Commercial Oligonucleotide Products Using Monoclonal Antibodies. Analytical Biochemistry. 306(1). 135–143. 9 indexed citations
5.
Cance, William G., Janet Harris, Mary Iacocca, et al.. (2000). Immunohistochemical analyses of focal adhesion kinase expression in benign and malignant human breast and colon tissues: correlation with preinvasive and invasive phenotypes.. PubMed. 6(6). 2417–23. 364 indexed citations
6.
Blanco, D R, Cheryl I. Champion, Michael A. Lewinski, et al.. (1999). Immunization with Treponema pallidum Outer Membrane Vesicles Induces High-Titer Complement-Dependent Treponemicidal Activity and Aggregation of T. pallidum Rare Outer Membrane Proteins (TROMPs). The Journal of Immunology. 163(5). 2741–2746. 17 indexed citations
7.
Schaeffer, Warren I., et al.. (1990). A system employing a minimal defined medium for the selection of tumorigenic cells. In Vitro Cellular & Developmental Biology - Plant. 26(7). 737–740. 5 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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