Linda C. Yoshimura

1.0k citations
17 papers · 837 indexed · h-index 10
Topics
NF-κB Signaling Pathways (8 papers)Immune Cell Function and Interaction (6 papers)Immune Response and Inflammation (4 papers)
Partner nations
United States

In The Last Decade

Linda C. Yoshimura

17 papers receiving 828 citations

Peers

Linda C. Yoshimura
Comparison fields: 5 of 65
  • Immunology 392
  • Molecular Biology 356
  • Pathology and Forensic Medicine 264
  • Oncology 247
  • Cancer Research 210
Replace Archito T. Tamayo with:
Archito T. Tamayo United States
Frederike von Bonin Germany
K Cechova United States
Joy Tan Singapore
Virginia Snell United States
D C Louie United States
Daniel J. Hodson United Kingdom
Jens Stanelle Germany
Floyd A. Benko United States
Šárka Pavlová Czechia
Linda C. Yoshimura relative to Archito T. Tamayo United States Archito T. Tamayo's profile →
Citations per field
00.5×1.5×
Archito T. Tamayo · 1×
Citations per year

Countries citing papers authored by Linda C. Yoshimura

Since Specialization
Citations

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

Fields of papers citing papers by Linda C. Yoshimura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linda C. Yoshimura. 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 Linda C. Yoshimura. The network helps show where Linda C. Yoshimura may publish in the future.

Co-authorship network of co-authors of Linda C. Yoshimura

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 68
2 24
3 34
4 43
5 1
6 1
7 132
8 93
9 1
10 1
11 266
12 99
13 13
14 8
15 9
16
Human B cell growth factor and neoplasia.
1
17 43

About Linda C. Yoshimura

Linda C. Yoshimura is a scholar working on Immunology, Cancer Research and Genetics, having authored 17 papers that have together received 837 indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (8 papers), Immune Cell Function and Interaction (6 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Immunology (392 citations), Pathology and Forensic Medicine (264 citations) and Genetics (153 citations). Linda C. Yoshimura has collaborated with scholars based in United States. Frequent co-authors include R. Ford, Lan V. Pham, Archito T. Tamayo, Piao Lo, Yen-Chiu Lin-Lee, Lingchen Fu, Nicholas H. A. Terry, Haijun Zhou, R Montagna and Abby Maizel. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Experimental Medicine and Blood.

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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