Jennifer M. Lu-Kuo

783 citations
9 papers · 516 indexed · h-index 9
Topics
Mast cells and histamine (4 papers)Monoclonal and Polyclonal Antibodies Research (3 papers)RNA regulation and disease (2 papers)
Partner nations
United StatesFrance

In The Last Decade

Jennifer M. Lu-Kuo

9 papers receiving 503 citations

Peers

Jennifer M. Lu-Kuo
Comparison fields: 5 of 55
  • Immunology 275
  • Molecular Biology 259
  • Cell Biology 78
  • Physiology 67
  • Immunology and Allergy 60
Replace Tsuyoshi Tsujimura with:
Tsuyoshi Tsujimura Japan
Olga F. Sarmento United States
Ken‐ichi Minehata Japan
Wendy W.Y. Au Australia
Satoru Takahashi Japan
Alessandra Pangrazio Italy
Yukio Tonozuka Japan
Steffen M. Kurz Germany
Kai Dittmann Germany
Antonella Contri Italy
Jennifer M. Lu-Kuo relative to Tsuyoshi Tsujimura Japan Tsuyoshi Tsujimura's profile →
Citations per field
00.5×3.5×
Tsuyoshi Tsujimura · 1×
Citations per year

Countries citing papers authored by Jennifer M. Lu-Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer M. Lu-Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer M. Lu-Kuo. 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 M. Lu-Kuo. The network helps show where Jennifer M. Lu-Kuo may publish in the future.

Co-authorship network of co-authors of Jennifer M. Lu-Kuo

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 71
2 64
3
SLP-76 deficiency impairs signaling via the high-affinity IgE receptor in mast cells.
141
4 31
5 50
6 16
7
Diverse mutations of the P gene among African-Americans with type II (tyrosinase-positive) oculocutaneous albinism (OCA2).
54
8 32
9
Expression cloning of multiple human cDNAs that complement the phenotypic defects of ataxia-telangiectasia group D fibroblasts.
57

About Jennifer M. Lu-Kuo

Jennifer M. Lu-Kuo is a scholar working on Immunology, Immunology and Allergy and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 516 indexed citations. Recurring topics across this work include Mast cells and histamine (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Immunology (275 citations), Immunology and Allergy (60 citations) and Cell Biology (78 citations). Jennifer M. Lu-Kuo has collaborated with scholars based in United States and France. Frequent co-authors include Howard R. Katz, K. Frank Austen, Vadim Pivniouk, Thomas R. Martin, Raif S. Geha, Hans C. Oettgen, Laura B. K. Herzing, M. Stephen Meyn, Lewis C. Cantley and David A. Fruman. Their work appears in journals such as Journal of Biological Chemistry, Human Molecular Genetics and Genomics.

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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