Kenneth M. Yamada

88.0k citations
701 papers · 71.9k indexed · 29 hit papers · h-index 140

Kenneth M. Yamada

683 papers receiving 68.7k citations

Hit Papers

The ext...256197020261988200750010001.5k2.0k

Peers

Kenneth M. Yamada
Comparison fields: 5 of 198
  • Immunology and Allergy 24.4k
  • Cell Biology 25.4k
  • Cancer Research 9.3k
  • Molecular Biology 28.8k
  • Biomaterials 4.3k
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Citations per field
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Citations per year

Countries citing papers authored by Kenneth M. Yamada

Since Specialization
Citations

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

Fields of papers citing papers by Kenneth M. Yamada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20259
2 202318
3 20158
4 2014277
5 20132
6
Extracellular matrix biology
201240
7 2010114
8
One-dimensional topography underlies three-dimensional fibrillar cell migrationbreakdown →
2009561
9 2007229
10 200717
11 2006492
12
Short protocols in cell biology : a compendium of methods from Current protocols in cell biology
200411
13
A Scaffold Protein in the c-Jun N-terminal Kinase Signaling Pathway is Associated with Focal Adhesion Kinase and Tyrosine Phosphorylated
200330
14
Taking Cell-Matrix Adhesions to the Third Dimensionbreakdown →
20012414
15
[A case of MPO-ANCA positive progressive systemic sclerosis with status epileptics].
19972
16 199684
17 198995
18
A peptide from fibronectin cell-binding domain inhibits attachment of epithelial cells.
198841
19
Effects of glycyrrhetinic acid and its derivatives on delta 4-5 alpha- and 5 beta-reductase in rat liver.
197914
20
[Hematological studies in patients with anorexia nervosa (author's transl)].
19781

About Kenneth M. Yamada

Kenneth M. Yamada is a scholar working on Immunology and Allergy, Cell Biology and Cancer Research, having authored 701 papers that have together received 71.9k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (239 papers), Cellular Mechanics and Interactions (139 papers), Protease and Inhibitor Mechanisms (88 papers), Physics of Superconductivity and Magnetism (69 papers), Advanced Condensed Matter Physics (62 papers), Monoclonal and Polyclonal Antibodies Research (62 papers), Magnetic and transport properties of perovskites and related materials (53 papers) and Glycosylation and Glycoproteins Research (42 papers). The work is most often cited by research in Immunology and Allergy (24.4k citations), Cell Biology (25.4k citations) and Cancer Research (9.3k citations). Kenneth M. Yamada has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Roumen Pankov, Edna Cukierman, Kenneth Olden, Steven K. Akiyama, Andrew D. Doyle, S S Yamada, Kazue Matsumoto, Norman K. Wessells, Ryan J. Petrie and Brian S. Spooner. Their work appears in journals such as Nature, Science and Cell.

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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