Werner Frings

537 total citations
10 papers, 211 citations indexed

About

Werner Frings is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Werner Frings has authored 10 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Oncology. Recurrent topics in Werner Frings's work include Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (5 papers) and Biosimilars and Bioanalytical Methods (4 papers). Werner Frings is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (6 papers), CAR-T cell therapy research (5 papers) and Biosimilars and Bioanalytical Methods (4 papers). Werner Frings collaborates with scholars based in United States, Switzerland and United Kingdom. Werner Frings's co-authors include Laura Dill Morton, Frank R. Brennan, Patrick Müller, Andrea Kießling, Adam Hey, Jennifer Sims, Sebastian Spindeldreher, Gerhard F. Weinbauer, Clifford A. Smith and Mark Rogge and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Cancer Research.

In The Last Decade

Werner Frings

10 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Werner Frings United States 5 114 86 70 49 15 10 211
Chi-Kin Chow United States 5 174 1.5× 134 1.6× 34 0.5× 130 2.7× 13 0.9× 10 325
Carl Dolman United Kingdom 7 200 1.8× 113 1.3× 78 1.1× 77 1.6× 17 1.1× 8 305
José María Sánchez‐Pina Spain 8 103 0.9× 44 0.5× 112 1.6× 71 1.4× 9 0.6× 25 270
Kalpana Shah United States 7 149 1.3× 180 2.1× 217 3.1× 95 1.9× 17 1.1× 14 360
Amy E. Gilbert United Kingdom 7 122 1.1× 86 1.0× 79 1.1× 76 1.6× 9 0.6× 11 256
Nicole Piche‐Nicholas United States 9 104 0.9× 248 2.9× 72 1.0× 212 4.3× 25 1.7× 9 378
Robert Dingman United States 8 80 0.7× 59 0.7× 25 0.4× 80 1.6× 5 0.3× 13 234
Paulo C. M. Urbano Netherlands 10 133 1.2× 20 0.2× 40 0.6× 48 1.0× 8 0.5× 12 214
Rich Erickson United States 9 133 1.2× 57 0.7× 69 1.0× 103 2.1× 8 0.5× 18 319
Jessica A. Cintolo United States 10 198 1.7× 40 0.5× 162 2.3× 88 1.8× 14 0.9× 12 321

Countries citing papers authored by Werner Frings

Since Specialization
Citations

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

Fields of papers citing papers by Werner Frings

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Werner Frings. 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 Werner Frings. The network helps show where Werner Frings may publish in the future.

Co-authorship network of co-authors of Werner Frings

This figure shows the co-authorship network connecting the top 25 collaborators of Werner Frings. A scholar is included among the top collaborators of Werner Frings 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 Werner Frings. Werner Frings 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.
Komatsu, Shunichiro, Yoko Kayukawa, Yoko Miyazaki, et al.. (2022). Determination of starting dose of the T cell-redirecting bispecific antibody ERY974 targeting glypican-3 in first-in-human clinical trial. Scientific Reports. 12(1). 12312–12312. 10 indexed citations
2.
Frings, Werner, et al.. (2017). Effects of SA237, a humanized anti‐interleukin‐6 receptor monoclonal antibody, on pre‐ and postnatal development in cynomolgus monkey. Birth Defects Research. 109(11). 843–856. 4 indexed citations
3.
Hashimoto, Kenji, Ayesh D. Perera, Mikiko Nakamura, et al.. (2017). A phase I dose escalation (DE) and cohort expansion (CE) study of ERY974, an anti-glypican 3 (GPC3)/CD3 bispecific antibody, in patients with advanced solid tumors.. Journal of Clinical Oncology. 35(15_suppl). TPS3112–TPS3112. 4 indexed citations
4.
Perera, Ayesh D., Mikiko Nakamura, Takahiro Ishiguro, et al.. (2016). A phase I dose escalation and cohort expansion study of T-cell redirecting bispecific antibody against Glypican 3 in patients with advanced solid tumors.. Journal of Clinical Oncology. 34(15_suppl). TPS2592–TPS2592. 4 indexed citations
5.
Ishiguro, Takahiro, Yasuko Kinoshita, Yuji Sano, et al.. (2016). Abstract DDT01-05: First-in-class T cell-redirecting bispecific antibody targeting glypican-3: a highly tumor-selective antigen. Cancer Research. 76(14_Supplement). DDT01–5. 3 indexed citations
6.
Brennan, Frank R., Laura Dill Morton, Sebastian Spindeldreher, et al.. (2010). Safety and immunotoxicity assessment of immunomodulatory monoclonal antibodies. mAbs. 2(3). 233–255. 163 indexed citations
7.
Frings, Werner, et al.. (2009). Immunotoxicity Testing in Nonhuman Primates. Methods in molecular biology. 598. 341–359. 11 indexed citations
8.
Hughes, Steven D., et al.. (2005). IL-21 Improves Rituximab-Mediated B Cell Depletion.. Blood. 106(11). 345–345. 4 indexed citations
10.
Jeffry, Ursula, Kay Huh, Tong Xia, et al.. (2004). Safety Evaluation of an Fully Human Antagonist Anti-CD40 Antibody, CHIR-12.12, in a Dose Range-Finding Study in Cynomolgus Monkeys.. Blood. 104(11). 3282–3282. 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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