James R. Tonra

3.8k citations
70 papers · 2.9k indexed · h-index 29
Topics
Angiogenesis and VEGF in Cancer (13 papers)HER2/EGFR in Cancer Research (10 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)

In The Last Decade

James R. Tonra

69 papers receiving 2.8k citations

Peers

James R. Tonra
Comparison fields: 5 of 106
  • Molecular Biology 1.2k
  • Oncology 968
  • Immunology 491
  • Cellular and Molecular Neuroscience 436
  • Pulmonary and Respiratory Medicine 338
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
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Citations per field
00.5×2.6×
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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 of co-authors of James R. Tonra

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 14
2 1
3 24
4 4
5 7
6
Estimating preclinical efficacy targets utilizing cetuximab efficacy in KRAS mutant and wild-type colorectal cancer models.
2
7 14
8 28
9 40
10 6
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
3
12 1
13 184
14
IMC-A12 enhances the efficacy of cetuximab + gemcitabine therapy in human pancreatic carcinoma xenografts.
3
15 127
16 36
17
Antitumor activity of a novel, human anti-epidermal growth factor receptor (EGFR) monoclonal antibody (IMC-11F8) in human tumor xenograft models
13
18 190
19 226
20 16

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) and Monoclonal and Polyclonal Antibodies Research (9 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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