Jennifer Ishii

2.9k citations
14 papers · 1.9k indexed · 1 hit paper · h-index 12
Topics
RNA modifications and cancer (4 papers)Epigenetics and DNA Methylation (4 papers)Cell Adhesion Molecules Research (3 papers)
Partner nations
United StatesItalySpain

In The Last Decade

Jennifer Ishii

14 papers receiving 1.9k citations

Hit Papers

A MicroRNA Feedback Circuit in Midbrain Dopamine Neurons20072026201320192007250500750

Peers

Jennifer Ishii
Comparison fields: 5 of 94
  • Molecular Biology 1.1k
  • Cancer Research 655
  • Immunology 420
  • Genetics 279
  • Surgery 247
Replace Tomoyuki Tokunaga with:
Tomoyuki Tokunaga Japan
Anne Camus France
Gary Brown United States
David Karr United States
Roland Nagy Netherlands
Tom Burdon United Kingdom
Peggy Janich Germany
Mirei Murakami Japan
Phyllis Strickland United States
Inder Gadi United States
Jennifer Ishii relative to Tomoyuki Tokunaga Japan Tomoyuki Tokunaga's profile →
Citations per field
00.5×3.8×
Tomoyuki Tokunaga · 1×
Citations per year

Countries citing papers authored by Jennifer Ishii

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Ishii

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Ishii

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Ishii. A scholar is included among the top collaborators of Jennifer Ishii 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 Jennifer Ishii. Jennifer Ishii is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 59
2 28
3 3
4 70
5 82
6 1
7 20
8
A MicroRNA Feedback Circuit in Midbrain Dopamine Neuronsbreakdown →
960
9 121
10 135
11 60
12 255
13 81
14 24

About Jennifer Ishii

Jennifer Ishii is a scholar working on Immunology and Allergy, Hematology and Genetics, having authored 14 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (4 papers) and Cell Adhesion Molecules Research (3 papers). The work is most often cited by research in Cancer Research (655 citations), Immunology (420 citations) and Developmental Neuroscience (77 citations). Jennifer Ishii has collaborated with scholars based in United States, Italy and Spain. Frequent co-authors include Gregory J. Hannon, Elizabeth P. Murchison, Jong‐Pil Kim, Keiichi Inoue, Asa Abeliovich, William B. Vanti, Sergey V. Voronov, Daniel R. Salomon, Laura Crisá and Susan J. Fisher. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

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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