John M. Lamar

3.1k citations
38 papers · 2.3k · 1 hit paper · h-index 21

Impact in

Papers in

    • Ubiquitin and proteasome pathways 5
    • Wnt/β-catenin signaling in development and cancer 4
    • Angiogenesis and VEGF in Cancer 3
    • Hippo pathway signaling and YAP/TAZ 16
    • Cellular Mechanics and Interactions 7

John M. Lamar

35 papers receiving 2.3k citations

John M. Lamar's Hit Papers

The Hippo pathway target, YAP, promotes metastasis through its TEAD-interaction domain 2012 · 466 citations
4660+4+9Years since publication100200300400

Peers

John M. Lamar
Comparison fields: 5 of 95
  • Immunology and Allergy 404
  • Cell Biology 1.1k
  • Cancer Research 384
  • Oncology 649
  • Molecular Biology 1.2k
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Citations per year

Countries citing papers authored by John M. Lamar

Since Specialization
Citations

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

Fields of papers citing papers by John M. Lamar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Hippo pathway target, YAP, promotes metastasis through its TEAD-interaction domain
Hit paper breakdown →
2012466
2 2014277
3 2012164
4 2016155
5 2018135
6 2016133
7 2010132
8 2018119
9 2004100
10 202090
11 201859
12 201051
13 202145
14 200841
15 202139
16
Manohar A, Shome SG, Lamar J, Stirling L, Iyer V, Pumiglia K, et al.Alpha 3 beta 1 integrin promotes keratinocyte cell survival through activation of a MEK/ERK signaling pathway. J Cell Sci 117: 4043-4054
200438
17 200737
18 201828
19 202128
20 201827

About John M. Lamar

John M. Lamar is a scholar working on Molecular Biology, Cell Biology, Immunology and Allergy, Oncology and Cancer Research, having authored 38 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (16 papers), Hippo pathway signaling and YAP/TAZ (16 papers), Cellular Mechanics and Interactions (7 papers), Ubiquitin and proteasome pathways (5 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Protease and Inhibitor Mechanisms (4 papers), Angiogenesis and VEGF in Cancer (3 papers) and Wound Healing and Treatments (3 papers). The work is most often cited by research in Immunology and Allergy (404 citations), Cell Biology (1.1k citations), Cancer Research (384 citations), Oncology (649 citations) and Molecular Biology (1.2k citations). John M. Lamar has collaborated with scholars based in United States, India and South Korea. Frequent co-authors include Richard O. Hynes, Zhigang Jiang, Jeffrey W. Schindler, Patrick Stern, Hui Liu, C. Michael DiPersio, Steven A. Carr, Alexandra Naba, Yuxuan Xiao and Karl R. Clauser. Their work appears in journals such as Cancer Research, Cancers, Journal of Visualized Experiments, Nature Communications and Oncogene.

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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