Risa Kitagawa

2.6k citations
34 papers · 2.1k indexed · h-index 18

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Microtubule and mitosis dynamics

Papers in

    • Genetics, Aging, and Longevity in Model Organisms 7
    • Microtubule and mitosis dynamics 16

Risa Kitagawa

33 papers receiving 2.0k citations

Peers

Risa Kitagawa
Comparison fields: 5 of 94
  • Aging 204
  • Cell Biology 455
  • Molecular Biology 1.8k
  • Cancer Research 342
  • Oncology 455
Replace Nigel J. O’Neil with:
Nigel J. O’Neil Canada
Rajat Gupta Denmark
Serge Gangloff France
Eun Yong Shim United States
Jachen A. Solinger Switzerland
Marco Muzi-Falconi Italy
Ashwini S. Kamath‐Loeb United States
Arno F. Alpi United Kingdom
Matthew J. Neale United Kingdom
Risa Kitagawa relative to Nigel J. O’Neil Canada Nigel J. O’Neil's profile →
Citations per field
00.5×1.5×2.3×
Nigel J. O’Neil · 1×
Citations per year

Countries citing papers authored by Risa Kitagawa

Since Specialization
Citations

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

Fields of papers citing papers by Risa Kitagawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202310
2 20221
3 20201
4 201914
5 201624
6 20163
7 201583
8 200918
9 20098
10 200819
11 200575
12 2005138
13 2004374
14 200357
15 200257
16 20015
17 1999110
18 1998153
19 1996107
20 199310

About Risa Kitagawa

Risa Kitagawa is a scholar working on Aging, Cell Biology, Molecular Biology, Plant Science and Cancer Research, having authored 34 papers that have together received 2.1k indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (16 papers), DNA Repair Mechanisms (11 papers), Chromosomal and Genetic Variations (11 papers), Genomics and Chromatin Dynamics (8 papers), Genetics, Aging, and Longevity in Model Organisms (7 papers), Cancer-related Molecular Pathways (5 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Photosynthetic Processes and Mechanisms (4 papers). The work is most often cited by research in Aging (204 citations), Cell Biology (455 citations), Molecular Biology (1.8k citations), Cancer Research (342 citations) and Oncology (455 citations). Risa Kitagawa has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Michael B. Kastan, Peter J. McKinnon, Christopher J. Bakkenist, Ann M. Rose, Simon Bekker‐Jensen, Jiří Bártek, Fredrik Melander, Claudia Lukas, Tohru Ogawa and Katsumi Kitagawa. Their work appears in journals such as Genes & Development, The Journal of Cell Biology, Cell Reports, Journal of Visualized Experiments and Cell Cycle.

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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