Jennifer A. Lee

3.5k citations
26 papers · 3.0k indexed · 1 hit paper · h-index 10

Jennifer A. Lee

26 papers receiving 3.0k citations

Hit Papers

Skin-like pressure and strain sensors based on transparen...2011202620162021201150010001.5k2.0k2.5k

Peers

Jennifer A. Lee
Comparison fields: 5 of 110
  • Biomedical Engineering 2.7k
  • Polymers and Plastics 1.3k
  • Electrical and Electronic Engineering 1.1k
  • Cognitive Neuroscience 966
  • Materials Chemistry 319
Replace Jidong Shi with:
Jidong Shi China
Beinn V. O. Muir United Kingdom
Amanda Nguyen United States
Minjeong Ha South Korea
Hyung Joon Shim South Korea
Insang You South Korea
Sondra Hellstrom United States
Kazunori Kuribara Japan
Qilin Hua China
Zhi Jiang China
Jennifer A. Lee relative to Jidong Shi China Jidong Shi's profile →
Citations per field
00.5×5.5×
Jidong Shi · 1×
Citations per year

Countries citing papers authored by Jennifer A. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer A. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer A. Lee

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 4
3
Clear cell renal cell carcinoma with BAP1 mutation: a report of two cases
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4 5
5 8
6 29
7 7
8 10
9 8
10 13
11 25
12 2
13 12
14 25
15 5
16
Skin-like pressure and strain sensors based on transparent elastic films of carbon nanotubesbreakdown →
2811
17 16
18 2
19 1
20 17

About Jennifer A. Lee

Jennifer A. Lee is a scholar working on Biophysics, Cancer Research and Rehabilitation, having authored 26 papers that have together received 3.0k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Renal cell carcinoma treatment (2 papers). The work is most often cited by research in Polymers and Plastics (1.3k citations), Biomedical Engineering (2.7k citations) and Cognitive Neuroscience (966 citations). Jennifer A. Lee has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Darren J. Lipomi, Benjamin C. K. Tee, Zhenan Bao, Michael Vosgueritchian, Sondra Hellstrom, Brian S. Sorg, Dietmar W. Siemann, Kevin Camphausen, Paul G. Genever and Fatima Saleh. Their work appears in journals such as Journal of the American College of Cardiology, PLoS ONE and Nature Nanotechnology.

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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