Jennifer D. Lee

44 total papers · 1.6k total citations
34 papers, 1.3k citations indexed

About

Jennifer D. Lee is a scholar working on Materials Chemistry, Renewable Energy, Sustainability and the Environment and Mechanical Engineering. According to data from OpenAlex, Jennifer D. Lee has authored 34 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Materials Chemistry, 13 papers in Renewable Energy, Sustainability and the Environment and 8 papers in Mechanical Engineering. Recurrent topics in Jennifer D. Lee's work include Catalytic Processes in Materials Science (13 papers), Electrocatalysts for Energy Conversion (9 papers) and Catalysis and Hydrodesulfurization Studies (8 papers). Jennifer D. Lee is often cited by papers focused on Catalytic Processes in Materials Science (13 papers), Electrocatalysts for Energy Conversion (9 papers) and Catalysis and Hydrodesulfurization Studies (8 papers). Jennifer D. Lee collaborates with scholars based in United States, South Korea and Italy. Jennifer D. Lee's co-authors include Christopher B. Murray, Raymond J. Gorte, Jing Luo, Paolo Fornasiero, Cong Wang, Hongseok Yun, Matteo Monai, Cherie R. Kagan, Davit Jishkariani and Tzia Ming Onn and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and ACS Nano.

In The Last Decade

Jennifer D. Lee

34 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Jennifer D. Lee	685	459	439	389	320	34	1.3k
Chunmei Zhou	538 0.8×	338 0.7×	193 0.4×	126 0.3×	281 0.9×	29	1.1k
Liyuan Huai	471 0.7×	233 0.5×	247 0.6×	165 0.4×	843 2.6×	48	1.4k
Yanliang Yang	335 0.5×	638 1.4×	117 0.3×	448 1.2×	286 0.9×	36	1.2k
Shouhua Feng	410 0.6×	201 0.4×	403 0.9×	135 0.3×	719 2.2×	46	1.2k
Jin‐Gyu Kim	842 1.2×	159 0.3×	605 1.4×	115 0.3×	507 1.6×	27	1.5k
Shiwen Li	1.0k 1.5×	241 0.5×	250 0.6×	155 0.4×	517 1.6×	50	1.5k
Jérémie Zaffran	673 1.0×	208 0.5×	743 1.7×	148 0.4×	477 1.5×	29	1.3k
Břetislav Šmíd	915 1.3×	172 0.4×	564 1.3×	131 0.3×	511 1.6×	51	1.4k
Fu‐Kuo Chiang	643 0.9×	118 0.3×	272 0.6×	207 0.5×	634 2.0×	36	1.3k
Su‐Un Lee	803 1.2×	138 0.3×	711 1.6×	128 0.3×	360 1.1×	26	1.2k

Countries citing papers authored by Jennifer D. Lee

Since Specialization

Citations

This map shows the geographic impact of Jennifer D. 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 D. 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 D. Lee more than expected).

Fields of papers citing papers by Jennifer D. Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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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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