Jonathan A. Hickson

1.2k citations
28 papers · 888 · h-index 17

Impact in

Papers in

Jonathan A. Hickson

28 papers receiving 872 citations

Peers

Jonathan A. Hickson
Comparison fields: 5 of 80
  • Oncology 346
  • Pathology and Forensic Medicine 222
  • Cancer Research 126
  • Molecular Biology 561
  • Biotechnology 51
Replace Carles Barceló with:
Carles Barceló Spain
Thorunn Helgason United States
Anthony Cheung United Kingdom
Takehiro Nohara Japan
Emily Chan United States
Yuan Mao China
Nilay S. Sethi United States
Andrey Khramtsov United States
Julia V. Burnier Canada
Callum M. Sloss United States
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan A. Hickson

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan A. Hickson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan A. Hickson. 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 Jonathan A. Hickson. The network helps show where Jonathan A. Hickson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018136
2
Mitogen-activated protein kinase kinase 4 (MKK4) acts as a metastasis suppressor gene in human ovarian carcinoma.
2002122
3 2006106
4 200576
5 201050
6 201047
7 200542
8 200842
9 201835
10 200635
11 200331
12 200828
13 201725
14 200924
15 200722
16 201521
17 200819
18 20194
19 20124
20 20184

About Jonathan A. Hickson

Jonathan A. Hickson is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Pulmonary and Respiratory Medicine and Genetics, having authored 28 papers that have together received 888 indexed citations. Recurring topics across this work include Cancer Mechanisms and Therapy (7 papers), Melanoma and MAPK Pathways (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cancer Cells and Metastasis (4 papers), Nanoplatforms for cancer theranostics (3 papers), Mechanisms of cancer metastasis (3 papers), Cancer Research and Treatments (2 papers) and HER2/EGFR in Cancer Research (2 papers). The work is most often cited by research in Oncology (346 citations), Pathology and Forensic Medicine (222 citations), Cancer Research (126 citations), Molecular Biology (561 citations) and Biotechnology (51 citations). Jonathan A. Hickson has collaborated with scholars based in United States, United Kingdom and Russia. Frequent co-authors include Carrie Rinker‐Schaeffer, Donald J. Vander Griend, S. Diane Yamada, Dezheng Huo, Anning Lin, Sarah F. Adams, Anthony Montag, Tamara L. Lotan, Victoria Robinson and Jonathan Berger. Their work appears in journals such as Cancer Research, Molecular Cancer Therapeutics, Clinical & Experimental Metastasis, Neoplasia and Cancer and Metastasis Reviews.

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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