Joy L. Nishikawa

1.7k citations
8 papers · 1.3k indexed · 1 hit paper · h-index 6
Topics
Genomics and Chromatin Dynamics (3 papers)Genetic Syndromes and Imprinting (1 paper)RNA modifications and cancer (1 paper)
Partner nations
CanadaUnited StatesItaly

In The Last Decade

Joy L. Nishikawa

8 papers receiving 1.3k citations

Hit Papers

Systematic Identification of Pathways That Couple Cell Gr...20022026201020182002200400600

Peers

Joy L. Nishikawa
Comparison fields: 5 of 87
  • Molecular Biology 1.1k
  • Cell Biology 203
  • Plant Science 172
  • Epidemiology 99
  • Infectious Diseases 92
Replace Laurent Maillet with:
Laurent Maillet France
Michael C. Schultz Canada
Mary Sopta Croatia
Angel Ashikov Germany
Yulia V. Surovtseva United States
Dina Balderes United States
Noriyuki Suka United States
Ann L. Kirchmaier United States
Sylviane Dewaele Belgium
Robert Cafferkey United States
Joy L. Nishikawa relative to Laurent Maillet France Laurent Maillet's profile →
Citations per field
00.5×1.5×2.5×
Laurent Maillet · 1×
Citations per year

Countries citing papers authored by Joy L. Nishikawa

Since Specialization
Citations

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

Fields of papers citing papers by Joy L. Nishikawa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joy L. Nishikawa. 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 Joy L. Nishikawa. The network helps show where Joy L. Nishikawa may publish in the future.

Co-authorship network of co-authors of Joy L. Nishikawa

This figure shows the co-authorship network connecting the top 25 collaborators of Joy L. Nishikawa. A scholar is included among the top collaborators of Joy L. Nishikawa based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joy L. Nishikawa. Joy L. Nishikawa is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1 115
2 30
3 1
4 156
5 339
6
Systematic Identification of Pathways That Couple Cell Growth and Division in Yeastbreakdown →
602
7 38
8
[Accumulation of 99mTc-MDP in rhabdomyosarcoma].
1

About Joy L. Nishikawa

Joy L. Nishikawa is a scholar working on Geriatrics and Gerontology, Molecular Medicine and Molecular Biology, having authored 8 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (3 papers), Genetic Syndromes and Imprinting (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Aging (48 citations), Molecular Biology (1.1k citations) and Cell Biology (203 citations). Joy L. Nishikawa has collaborated with scholars based in Canada, United States and Italy. Frequent co-authors include Mike Tyers, Paul Jorgensen, Bobby‐Joe Breitkreutz, Ivan Rupeš, Xiaojing Tang, Kevin E. Breitkreuz, Brenda Andrews, Jonathan Millman, Michael Costanzo and Anders M. Näär. 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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