Grace E. Lee

1.1k citations
27 papers · 940 · h-index 15

Impact in

Papers in

Grace E. Lee

25 papers receiving 918 citations

Peers

Grace E. Lee
Comparison fields: 5 of 109
  • Applied Microbiology and Biotechnology 34
  • Epidemiology 340
  • Genetics 137
  • Biotechnology 31
  • Molecular Biology 161
Replace Bambos M. Charalambous with:
Bambos M. Charalambous United Kingdom
Teri N. Hreha United States
Giuseppe Magistro Germany
Klaus Ritter Germany
Elysia M. Hollams Australia
Jane W. Wanyiri United States
Tanvi Dhere United States
Toshihiro Mita Japan
Robert Crisp United States
Alan Diot France
Grace E. Lee relative to Bambos M. Charalambous United Kingdom Bambos M. Charalambous's profile →
Citations per field
00.5×2×3×4.3×
Bambos M. Charalambous · 1×
Citations per year

Countries citing papers authored by Grace E. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Grace E. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Grace E. Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Grace E. Lee Line = papers co-authored together Grace E. Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010160
2 2008138
3 2011103
4 202072
5 200671
6 201646
7 201144
8 200341
9 200940
10 201136
11 201336
12 199828
13 201125
14 201717
15 202316
16 201614
17 201912
18 200611
19 20147
20 20237

About Grace E. Lee

Grace E. Lee is a scholar working on Epidemiology, Analytical Chemistry, Public Health, Environmental and Occupational Health, Hematology and Molecular Biology, having authored 27 papers that have together received 940 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (4 papers), Acute Lymphoblastic Leukemia research (3 papers), Herpesvirus Infections and Treatments (3 papers), Acute Myeloid Leukemia Research (2 papers), Analytical Methods in Pharmaceuticals (2 papers), Pancreatitis Pathology and Treatment (2 papers), Bacterial Genetics and Biotechnology (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (34 citations), Epidemiology (340 citations), Genetics (137 citations), Biotechnology (31 citations) and Molecular Biology (161 citations). Grace E. Lee has collaborated with scholars based in United States, Hungary and Brazil. Frequent co-authors include Samir S. Shah, Matthew P. Kronman, Seth Sheffler‐Collins, Scott A. Lorch, Duncan W. Wilson, Ryan D. Kitko, Joan L. Slonczewski, Brian D. Jones, Yuan-Shung Vera Huang and John W. Murray. Their work appears in journals such as Journal of Virology, PEDIATRICS, Journal of Pharmaceutical Sciences, Journal of the Pediatric Infectious Diseases Society and Applied and Environmental Microbiology.

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.

Explore authors with similar magnitude of impact