Jennifer Ishii

2.9k total citations · 1 hit paper
14 papers, 1.9k citations indexed

About

Jennifer Ishii is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Jennifer Ishii has authored 14 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 4 papers in Surgery. Recurrent topics in Jennifer Ishii's work include RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (4 papers) and Cell Adhesion Molecules Research (3 papers). Jennifer Ishii is often cited by papers focused on RNA modifications and cancer (4 papers), Epigenetics and DNA Methylation (4 papers) and Cell Adhesion Molecules Research (3 papers). Jennifer Ishii collaborates with scholars based in United States, Italy and Spain. Jennifer Ishii's co-authors include Elizabeth P. Murchison, Keiichi Inoue, Gregory J. Hannon, Jong‐Pil Kim, Sergey V. Voronov, William B. Vanti, Asa Abeliovich, Daniel R. Salomon, Laura Crisá and Michael McMaster and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and The Journal of Experimental Medicine.

In The Last Decade

Jennifer Ishii

14 papers receiving 1.9k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A MicroRNA Feedback Circuit in Midbrain Dopamine Neurons

2007 960 citations Jong‐Pil Kim, Keiichi Inoue et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jennifer Ishii United States	12	1.1k	655	420	279	247	14	1.9k
Gary Brown United States	12	2.1k 1.9×	226 0.3×	301 0.7×	274 1.0×	245 1.0×	14	3.0k
Tom Burdon United Kingdom	20	3.5k 3.2×	264 0.4×	275 0.7×	586 2.1×	386 1.6×	33	4.1k
Gen Shinoda United States	11	1.2k 1.1×	704 1.1×	155 0.4×	117 0.4×	130 0.5×	14	1.7k
Anne Camus France	20	1.6k 1.4×	182 0.3×	309 0.7×	387 1.4×	260 1.1×	32	2.4k
Mirei Murakami Japan	5	3.1k 2.8×	214 0.3×	153 0.4×	371 1.3×	328 1.3×	5	3.6k
David Karr United States	6	1.6k 1.5×	117 0.2×	156 0.4×	358 1.3×	136 0.6×	6	2.2k
Tomoyuki Tokunaga Japan	22	1.8k 1.6×	172 0.3×	231 0.6×	582 2.1×	129 0.5×	50	2.4k
John R. Bermingham United States	25	1.4k 1.3×	136 0.2×	174 0.4×	262 0.9×	112 0.5×	40	2.3k
Kathy K. Niakan United Kingdom	27	4.3k 3.9×	188 0.3×	259 0.6×	647 2.3×	449 1.8×	51	5.1k
Lingqian Wu China	24	1.2k 1.1×	299 0.5×	187 0.4×	865 3.1×	151 0.6×	186	2.4k

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

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Suzuki, Masako, Will Liao, Andrew D. Johnston, et al.. (2018). Whole-genome bisulfite sequencing with improved accuracy and cost. Genome Research. 28(9). 1364–1371. 59 indexed citations

2.

Rutherford, Sarah C., Ângela Aguirres Fachel, Sheng Li, et al.. (2018). Extracellular vesicles in DLBCL provide abundant clues to aberrant transcriptional programming and genomic alterations. Blood. 132(7). e13–e23. 28 indexed citations

3.

Garrett-Bakelman, Francine E., Caroline Sheridan, Thadeous J. Kacmarczyk, et al.. (2015). Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution. Journal of Visualized Experiments. 3 indexed citations

4.

Garrett-Bakelman, Francine E., Caroline Sheridan, Thadeous J. Kacmarczyk, et al.. (2015). Enhanced Reduced Representation Bisulfite Sequencing for Assessment of DNA Methylation at Base Pair Resolution. Journal of Visualized Experiments. e52246–e52246. 70 indexed citations

5.

Domínguez, Pilar M., Matt Teater, Nyasha Chambwe, et al.. (2015). DNA Methylation Dynamics of Germinal Center B Cells Are Mediated by AID. Cell Reports. 12(12). 2086–2098. 82 indexed citations

6.

Rutherford, Sarah C., Ashish Saxena, Jennifer Ishii, et al.. (2014). Characterization of DLBCL-Derived Exosomes and Investigation of Their Biological Properties. Blood. 124(21). 3021–3021. 1 indexed citations

7.

Hermida‐Prieto, Manuel, Nieves Doménech, Isabel Moscoso, et al.. (2007). Lack of Cross-Species Transmission of Porcine Endogenous Retrovirus (PERV) to Transplant Recipients and Abattoir Workers in Contact With Pigs. Transplantation. 84(4). 548–550. 20 indexed citations

8.

Kim, Jong‐Pil, Keiichi Inoue, Jennifer Ishii, et al.. (2007). A MicroRNA Feedback Circuit in Midbrain Dopamine Neurons. Science. 317(5842). 1220–1224. 960 indexed citations breakdown →

9.

Ericsson, Thomas, Yasuhiro Takeuchi, Christian Templin, et al.. (2003). Identification of receptors for pig endogenous retrovirus. Proceedings of the National Academy of Sciences. 100(11). 6759–6764. 121 indexed citations

10.

Cirulli, Vincenzo, Gillian M. Beattie, George Klier, et al.. (2000). Expression and Function of αvβ3 and αvβ5 Integrins in the Developing Pancreas. The Journal of Cell Biology. 150(6). 1445–1460. 135 indexed citations

11.

Salomon, Daniel R., Laura Crisá, Christopher F. Mojcik, et al.. (1997). Vascular Cell Adhesion Molecule-1 Is Expressed by Cortical Thymic Epithelial Cells and Mediates Thymocyte Adhesion. Implications for the Function of α4β1 (VLA4) Integrin in T-Cell Development. Blood. 89(7). 2461–2471. 60 indexed citations

12.

Crisá, Laura, Michael McMaster, Jennifer Ishii, Susan J. Fisher, & Daniel R. Salomon. (1997). Identification of a Thymic Epithelial Cell Subset Sharing Expression of the Class Ib HLA-G Molecule with Fetal Trophoblasts. The Journal of Experimental Medicine. 186(2). 289–298. 255 indexed citations

13.

Crisá, Laura, V. Cirulli, Mark H. Ellisman, et al.. (1996). Cell adhesion and migration are regulated at distinct stages of thymic T cell development: the roles of fibronectin, VLA4, and VLA5.. The Journal of Experimental Medicine. 184(1). 215–228. 81 indexed citations

14.

Ishii, Jennifer & Soumitra S. Ghosh. (1993). Bead-based sandwich hybridization characteristics of oligonucleotide-alkaline phosphatase conjugates and their potential for quantitating target RNA sequences. Bioconjugate Chemistry. 4(1). 34–41. 24 indexed citations

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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