John C. Kath

4.8k citations
30 papers · 2.4k · h-index 19

Impact in

Papers in

    • Protein Degradation and Inhibitors 5
    • PI3K/AKT/mTOR signaling in cancer 4
    • Glycosylation and Glycoproteins Research 3
    • Chemical Synthesis and Analysis 3
    • Click Chemistry and Applications 4
    • Advanced Synthetic Organic Chemistry 4

John C. Kath

29 papers receiving 2.4k citations

Peers

John C. Kath
Comparison fields: 5 of 102
  • Immunology and Allergy 239
  • Organic Chemistry 908
  • Molecular Biology 1.4k
  • Oncology 517
  • Pharmaceutical Science 107
Replace Juan C. Jaén with:
Juan C. Jaén United States
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Gerhard Siemeister Germany
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John C. Kath relative to Juan C. Jaén United States Juan C. Jaén's profile →
Citations per field
00.5×3.6×
Juan C. Jaén · 1×
Citations per year

Countries citing papers authored by John C. Kath

Since Specialization
Citations

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

Fields of papers citing papers by John C. Kath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John C. Kath. 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 John C. Kath. The network helps show where John C. Kath may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007412
2 2017300
3 2014269
4 2010212
5 2013200
6 2012142
7 1995119
8 199693
9 201778
10 202266
11 199266
12 200762
13 199962
14 200359
15 201646
16 199045
17
The biological and biochemical effects of CP-654577, a selective erbB2 kinase inhibitor, on human breast cancer cells.
200340
18 199230
19 201122
20 201318

About John C. Kath

John C. Kath is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Radiology, Nuclear Medicine and Imaging and Genetics, having authored 30 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), HER2/EGFR in Cancer Research (5 papers), Click Chemistry and Applications (4 papers), Advanced Synthetic Organic Chemistry (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Glycosylation and Glycoproteins Research (3 papers) and Chemical Synthesis and Analysis (3 papers). The work is most often cited by research in Immunology and Allergy (239 citations), Organic Chemistry (908 citations), Molecular Biology (1.4k citations), Oncology (517 citations) and Pharmaceutical Science (107 citations). John C. Kath has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Clayton H. Heathcock, Roger B. Ruggeri, K.S. Gajiwala, Xiaobo Wan, Alma L. Burlingame, Jack Taunton, Lyn H. Jones, Michael J. Luzzio, Qian Zhao and Xiaohu Ouyang. Their work appears in journals such as The Journal of Organic Chemistry, Cancer Research, Journal of Biological Chemistry, Nature Chemical Biology and Bioorganic & Medicinal Chemistry Letters.

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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