Gwendolyn E. Kaeser

3.3k citations
11 papers · 1.2k indexed · 1 hit paper · h-index 9

Gwendolyn E. Kaeser

11 papers receiving 1.2k citations

Hit Papers

Integrative single-cell analysis of transcriptional and e...5692017202620202023100200300400500

Peers

Gwendolyn E. Kaeser
Comparison fields: 5 of 82
  • Neurology 178
  • Biological Psychiatry 44
  • Developmental Neuroscience 53
  • Molecular Biology 863
  • Cancer Research 175
Replace Yonatan Perez with:
Yonatan Perez Israel
Derek Gao United States
Sigrun Nestel Germany
Sujata Bupp United States
Michael J. McConnell United States
Kun Leng United States
Xianxiao Zhou United States
Natacha Coppieters New Zealand
Guillermo López‐Doménech United Kingdom
Sylvie Gory‐Fauré France
Gwendolyn E. Kaeser relative to Yonatan Perez Israel Yonatan Perez's profile →
Citations per field
00.5×2.9×
Yonatan Perez · 1×
Citations per year

Countries citing papers authored by Gwendolyn E. Kaeser

Since Specialization
Citations

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

Fields of papers citing papers by Gwendolyn E. Kaeser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gwendolyn E. Kaeser. 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 Gwendolyn E. Kaeser. The network helps show where Gwendolyn E. Kaeser may publish in the future.

Co-authorship network

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

All Works

11 of 11 papers shown
#Work
1 20242
2 20245
3 202016
4 202021
5 202028
6 201928
7 2018151
8
Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brainbreakdown →
2017569
9 2016236
10 2015102
11 201110

About Gwendolyn E. Kaeser

Gwendolyn E. Kaeser is a scholar working on Developmental Neuroscience, Virology and Rheumatology, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Single-cell and spatial transcriptomics (2 papers), DNA Repair Mechanisms (2 papers), Gene Regulatory Network Analysis (2 papers), RNA and protein synthesis mechanisms (2 papers), Gene expression and cancer classification (2 papers), Genomic variations and chromosomal abnormalities (1 paper) and Mast cells and histamine (1 paper). The work is most often cited by research in Neurology (178 citations), Biological Psychiatry (44 citations) and Developmental Neuroscience (53 citations). Gwendolyn E. Kaeser has collaborated with scholars based in United States, Netherlands and Canada. Frequent co-authors include Jerold Chun, Yun C. Yung, Peter V. Kharchenko, Jean Fan, Kun Zhang, Blue B. Lake, Derek Gao, Song Chen, Thu Elizabeth Duong and Brandon C. Sos. Their work appears in journals such as Nature, New England Journal of Medicine and Journal of Biological Chemistry.

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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