Jennifer Lin‐Jones

494 citations
11 papers · 264 indexed · h-index 9
Topics
Muscle Physiology and Disorders (4 papers)Cardiomyopathy and Myosin Studies (3 papers)Physiological and biochemical adaptations (2 papers)
Partner nations
United States

In The Last Decade

Jennifer Lin‐Jones

11 papers receiving 262 citations

Peers

Jennifer Lin‐Jones
Comparison fields: 5 of 60
  • Molecular Biology 198
  • Cell Biology 81
  • Cardiology and Cardiovascular Medicine 47
  • Sensory Systems 36
  • Cellular and Molecular Neuroscience 26
Replace Klaudia Giehl with:
Klaudia Giehl Germany
Jean-Louis Dufier France
Madoka Kumai Japan
Hongying Ma China
E. A. Morachevskaya Russia
Joseph T. Roland United States
Peter J. Minogue United States
Mark D. Urban United States
Carmen Aguado‐Velasco United States
Heather T. Daggett United States
Jennifer Lin‐Jones relative to Klaudia Giehl Germany Klaudia Giehl's profile →
Citations per field
00.5×1.6×
Klaudia Giehl · 1×
Citations per year

Countries citing papers authored by Jennifer Lin‐Jones

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Lin‐Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Lin‐Jones

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 22
3 20
4 31
5 21
6 48
7 18
8 3
9 48
10 32
11 20

About Jennifer Lin‐Jones

Jennifer Lin‐Jones is a scholar working on Cell Biology, Otorhinolaryngology and Sensory Systems, having authored 11 papers that have together received 264 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Cardiomyopathy and Myosin Studies (3 papers) and Physiological and biochemical adaptations (2 papers). The work is most often cited by research in Sensory Systems (36 citations), Cell Biology (81 citations) and Developmental Biology (7 citations). Jennifer Lin‐Jones has collaborated with scholars based in United States. Frequent co-authors include Beth Burnside, Stephen D. Hauschka, Andrea C. Dosé, Howard M. Stern, David W. Hillman, Cynthia Wong, Mike Wu, Curtis J. Omiecinski, Cecilia M. Giachelli and Barry E. Knox. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Development.

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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