Jennifer Okamoto

4.3k citations
13 papers · 2.2k indexed · 2 hit papers · h-index 10
Topics
Cancer Genomics and Diagnostics (4 papers)Transplantation: Methods and Outcomes (3 papers)Marine Ecology and Invasive Species (3 papers)
Partner nations
United StatesJapanItaly

In The Last Decade

Jennifer Okamoto

13 papers receiving 2.2k citations

Hit Papers

Developmental Heterogeneity of Microglia and Brain Myeloi...201420262018202220182014200400600

Peers

Jennifer Okamoto
Comparison fields: 5 of 112
  • Neurology 579
  • Molecular Biology 553
  • Immunology 480
  • Surgery 421
  • Cancer Research 384
Replace Kazuyoshi Hosomichi with:
Kazuyoshi Hosomichi Japan
Hiroki Kurahashi Japan
Cornelia Hardt Germany
A. Ahmed‐Ansari United States
Barbara Wallner United States
William Klitz United States
Nathalie Labrecque Canada
Antonio Maraver Spain
Winston Koh United States
Y. Iwasaki Japan
Jennifer Okamoto relative to Kazuyoshi Hosomichi Japan Kazuyoshi Hosomichi's profile →
Citations per field
00.5×8.0×
Kazuyoshi Hosomichi · 1×
Citations per year

Countries citing papers authored by Jennifer Okamoto

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Okamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Okamoto

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 20
2 2
3 178
4
Developmental Heterogeneity of Microglia and Brain Myeloid Cells Revealed by Deep Single-Cell RNA Sequencingbreakdown →
697
5 51
6 131
7 23
8 254
9
Circulating Cell-Free DNA Enables Noninvasive Diagnosis of Heart Transplant Rejectionbreakdown →
372
10
Analysis of Human Colon Tissue Cell Composition Using Single-Cell Gene-Expression PCR
2
11 337
12 6
13 115

About Jennifer Okamoto

Jennifer Okamoto is a scholar working on Transplantation, Cancer Research and Global and Planetary Change, having authored 13 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Transplantation: Methods and Outcomes (3 papers) and Marine Ecology and Invasive Species (3 papers). The work is most often cited by research in Transplantation (346 citations), Neurology (579 citations) and Developmental Neuroscience (115 citations). Jennifer Okamoto has collaborated with scholars based in United States, Japan and Italy. Frequent co-authors include Stephen R. Quake, Norma Neff, Iwijn De Vlaminck, Calvin Strehl, Helen Luikart, Hannah A. Valantine, Kiran K. Khush, Thomas M. Snyder, Daniel Bernstein and Garrett Cohen. 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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