Kathy Takayama

495 citations
17 papers · 371 indexed · h-index 9

Kathy Takayama

16 papers receiving 355 citations

Peers

Kathy Takayama
Comparison fields: 5 of 82
  • Endocrinology 55
  • Genetics 113
  • Molecular Biology 249
  • Ecology 84
  • Aging 5
Replace E Zychlinsky with:
E Zychlinsky United States
Céline Lucchetti-Miganeh France
Jiyeon Park South Korea
J Schäfer Germany
Jonathan E. Visick United States
Arnaud Lagorce France
Chang Soo Hong Japan
Lesley A. H. Bowman United Kingdom
Marco Salgado Sweden
Assaf Katz Chile
Kathy Takayama relative to E Zychlinsky United States E Zychlinsky's profile →
Citations per field
00.5×4.7×
E Zychlinsky · 1×
Citations per year

Countries citing papers authored by Kathy Takayama

Since Specialization
Citations

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

Fields of papers citing papers by Kathy Takayama

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 19 scholars most cited alongside Kathy Takayama, 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 Kathy Takayama Line = papers co-authored together Kathy Takayama links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
Advancing Diversity and Inclusion through Strategic Multilevel Leadership.
20176
2
A Metacognitive Approach to Mapping Collaborative Inquiry through E-Portfolios
20142
3
Exploring Student Learning in Unfamiliar Territory: A Humanist and a Scientist Compare Notes
20133
4
Mapping student learning throughout the collaborative inquiry process: the progressive e-poster
20122
5 200915
6 20091
7 20042
8 20031
9 200255
10 200231
11 200068
12 200016
13 199842
14 19953
15 199437
16 199074
17 198713

About Kathy Takayama

Kathy Takayama is a scholar working on Endocrinology, Developmental and Educational Psychology and Ecology, having authored 17 papers that have together received 371 indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (4 papers), Vibrio bacteria research studies (4 papers), Bacterial Genetics and Biotechnology (4 papers), Innovative Teaching and Learning Methods (3 papers), Viral Infections and Immunology Research (2 papers), Bacteriophages and microbial interactions (2 papers), Reflective Practices in Education (2 papers) and Bacterial biofilms and quorum sensing (2 papers). The work is most often cited by research in Endocrinology (55 citations), Genetics (113 citations) and Molecular Biology (249 citations). Kathy Takayama has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Staffan Kjelleberg, Masayori Inouye, Marvin Wickens, Lan Gong, Sujatha Srinivasan, Timothy S. Charlton, Stuart A. Rice, Diane McDougald, Lyndal S. Thompson and Rocky de Nys. Their work appears in journals such as Nature, SHILAP Revista de lepidopterología and Journal of Bacteriology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026