Chris Marshall

4.6k citations
34 papers · 3.6k indexed · 1 hit paper · h-index 21
Topics
Protein Kinase Regulation and GTPase Signaling (12 papers)Melanoma and MAPK Pathways (7 papers)Endometrial and Cervical Cancer Treatments (3 papers)

In The Last Decade

Chris Marshall

33 papers receiving 3.5k citations

Hit Papers

Regulation of cell signalling by uPAR20092026201420202009200400600

Peers

Chris Marshall
Comparison fields: 5 of 127
  • Molecular Biology 2.2k
  • Oncology 999
  • Cancer Research 676
  • Cell Biology 608
  • Immunology 445
Replace Hitoshi Kitayama with:
Hitoshi Kitayama Japan
Timothy M. Thomson Spain
Ugo Cavallaro Italy
Vincenzo Cirulli United States
Anna T. Riegel United States
Guido Posern Germany
Robert Kypta United Kingdom
Andrea Morrione United States
Judy Wynne United Kingdom
Anthony M.C. Brown United States
Chris Marshall relative to Hitoshi Kitayama Japan Hitoshi Kitayama's profile →
Citations per field
00.5×1.5×1.9×
Hitoshi Kitayama · 1×
Citations per year

Countries citing papers authored by Chris Marshall

Since Specialization
Citations

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

Fields of papers citing papers by Chris Marshall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Marshall

This figure shows the co-authorship network connecting the top 25 collaborators of Chris Marshall. A scholar is included among the top collaborators of Chris Marshall 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 Chris Marshall. Chris Marshall 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 0
2 6
3 4
4 1
5
Regulation of cell signalling by uPARbreakdown →
743
6 59
7 246
8 2
9
New technologies in gynecologic cytology.
17
10 131
11 186
12 13
13 36
14 411
15 173
16 29
17 152
18 138
19 17
20
A study of ras gene mutations in colonic adenomas from familial polyposis coli patients.
48

About Chris Marshall

Chris Marshall is a scholar working on Ecological Modeling, Obstetrics and Gynecology and Immunology and Allergy, having authored 34 papers that have together received 3.6k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (12 papers), Melanoma and MAPK Pathways (7 papers) and Endometrial and Cervical Cancer Treatments (3 papers). The work is most often cited by research in Immunology and Allergy (347 citations), Cancer Research (676 citations) and Cell Biology (608 citations). Chris Marshall has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Harvey W. Smith, Richard Marais, Amine Sadok, Philip Cohen, Hugh F. Paterson, Hugh Paterson, Klaus Seedorf, Axel Ullrich, Sarah Traverse and Tony Magee. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.

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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