Mark Paris

1.4k citations
21 papers · 974 · h-index 14

Impact in

    • Bone Metabolism and Diseases
    • Protein Kinase Regulation and GTPase Signaling
    • Melanoma and MAPK Pathways
    • TGF-β signaling in diseases
    • Angiogenesis and VEGF in Cancer
    • Bone health and treatments

Papers in

Mark Paris

21 papers receiving 959 citations

Peers

Mark Paris
Comparison fields: 5 of 94
  • Molecular Biology 524
  • Oncology 176
  • Cancer Research 89
  • Rheumatology 87
  • Cellular and Molecular Neuroscience 112
Replace Van Duc Dang with:
Van Duc Dang Germany
Atsuhiko Kato United States
Kenji Nagao Japan
David George United States
Frank Wempe Germany
Eon J. Rios United States
Takeshi Namiki Japan
Catharine J. Andresen United States
Colin Ong Canada
Katri Vuopala Finland
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Citations per field
00.5×4.1×
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Citations per year

Countries citing papers authored by Mark Paris

Since Specialization
Citations

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

Fields of papers citing papers by Mark Paris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006278
2 201595
3 201589
4 199468
5
Different structural requirements within the switch II region of the Ras protein for interactions with specific downstream targets.
199559
6 200752
7 199748
8 200644
9 200840
10 201538
11 199837
12 200829
13 199926
14 201514
15 199413
16 200912
17 200011
18 200111
19 19976
20 20153

About Mark Paris

Mark Paris is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cancer Research and Oncology, having authored 21 papers that have together received 974 indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (5 papers), Angiogenesis and VEGF in Cancer (4 papers), NF-κB Signaling Pathways (3 papers), Melanoma and MAPK Pathways (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Genomic variations and chromosomal abnormalities (3 papers), TGF-β signaling in diseases (2 papers) and Brucella: diagnosis, epidemiology, treatment (2 papers). The work is most often cited by research in Molecular Biology (524 citations), Oncology (176 citations), Cancer Research (89 citations), Rheumatology (87 citations) and Cellular and Molecular Neuroscience (112 citations). Mark Paris has collaborated with scholars based in United States, Peru and Canada. Frequent co-authors include Regis J. O’Keefe, Edward M. Schwarz, Hicham Drissi, Yufeng Dong, Alan Wolfman, Shonna A. Moodie, Ernest Smith, Maurice Zauderer, Walter Kölch and Alan S. Jonason. Their work appears in journals such as Genes Chromosomes and Cancer, Molecular and Cellular Biology, Sexually Transmitted Diseases, Gene and International Journal of Infectious Diseases.

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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