James R. Tonra

3.8k citations
70 papers · 2.9k indexed · h-index 29

James R. Tonra

69 papers receiving 2.8k citations

Peers

James R. Tonra
Comparison fields: 5 of 106
  • Developmental Neuroscience 168
  • Oncology 968
  • Neurology 215
  • Cellular and Molecular Neuroscience 436
  • Immunology 491
Replace Chun Cheng with:
Chun Cheng China
Isobel A. Scarisbrick United States
Carmen Ruiz de Almodóvar Germany
Tara Karnezis Australia
Ilaria T. Cavarretta Italy
John F. Reilly United States
Gail M. Seigel United States
Candece L. Gladson United States
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Citations per year

Countries citing papers authored by James R. Tonra

Since Specialization
Citations

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

Fields of papers citing papers by James R. Tonra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James R. Tonra. 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 James R. Tonra. The network helps show where James R. Tonra may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 202314
2 20231
3 201924
4 20194
5 20177
6
Estimating preclinical efficacy targets utilizing cetuximab efficacy in KRAS mutant and wild-type colorectal cancer models.
20112
7 201114
8 201028
9 200940
10 20096
11
Abstract #2774: The fully human EGFR antibody IMC-11F8 significantly increases the antitumor effects of cisplatin+gemcitabine in human non-small cell lung cancer models
20093
12 20081
13 2007184
14
IMC-A12 enhances the efficacy of cetuximab + gemcitabine therapy in human pancreatic carcinoma xenografts.
20073
15 2006127
16 200636
17
Antitumor activity of a novel, human anti-epidermal growth factor receptor (EGFR) monoclonal antibody (IMC-11F8) in human tumor xenograft models
200413
18 2002190
19 2001226
20 199916

About James R. Tonra

James R. Tonra is a scholar working on Oncology, Neurology and Developmental Neuroscience, having authored 70 papers that have together received 2.9k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (13 papers), HER2/EGFR in Cancer Research (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Nerve injury and regeneration (8 papers), Colorectal Cancer Treatments and Studies (7 papers), Cancer Treatment and Pharmacology (7 papers), Lung Cancer Treatments and Mutations (6 papers) and Pain Mechanisms and Treatments (5 papers). The work is most often cited by research in Developmental Neuroscience (168 citations), Oncology (968 citations) and Neurology (215 citations). James R. Tonra has collaborated with scholars based in United States, Switzerland and Spain. Frequent co-authors include Daniel J. Hicklin, Dale L. Ludwig, Rajiv Bassi, Kenneth D. Cliffer, Peter S. DiStefano, Dhanvanthri S. Deevi, Erik Corcoran, Vivien Wong, Larry Witte and Philipp Steiner. Their work appears in journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Journal of Clinical Oncology.

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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