Grace E. Lee

1.2k citations
24 papers · 819 · h-index 15

Impact in

Papers in

    • Pneumonia and Respiratory Infections 4
    • Herpesvirus Infections and Treatments 3
    • Cytomegalovirus and herpesvirus research 2

Grace E. Lee

22 papers receiving 795 citations

Peers

Grace E. Lee
Comparison fields: 5 of 105
  • Applied Microbiology and Biotechnology 17
  • Epidemiology 288
  • Microbiology 26
  • Virology 19
  • Biotechnology 35
Replace Jan Kehrmann with:
Jan Kehrmann Germany
Sławomir Żegleń Poland
Dennis Versluis Netherlands
Maryada Sharma India
P. Rudolph Germany
Neil Ritchie United Kingdom
Xiaolan Yu China
İhsan Hakkı Çiftçi Türkiye
Ronen Mosseri Israel
Scott C. N. Oliver United States
Grace E. Lee relative to Jan Kehrmann Germany Jan Kehrmann's profile →
Citations per field
00.5×4.3×
Jan Kehrmann · 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 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010150
2 2008129
3 201199
4 200670
5 201144
6 201643
7 200341
8 200940
9 201135
10 201335
11 199828
12 201125
13 201716
14 202315
15 201614
16 200611
17 20237
18 20146
19 19964
20 20173

About Grace E. Lee

Grace E. Lee is a scholar working on Epidemiology, Molecular Biology, Surgery, Immunology and Oncology, having authored 24 papers that have together received 819 indexed citations. Recurring topics across this work include Pneumonia and Respiratory Infections (4 papers), Herpesvirus Infections and Treatments (3 papers), Kawasaki Disease and Coronary Complications (2 papers), CAR-T cell therapy research (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Toxin Mechanisms and Immunotoxins (2 papers), Pancreatitis Pathology and Treatment (2 papers) and Bacterial Genetics and Biotechnology (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (17 citations), Epidemiology (288 citations), Microbiology (26 citations), Virology (19 citations) and Biotechnology (35 citations). Grace E. Lee has collaborated with scholars based in United States, Hungary and China. Frequent co-authors include Samir S. Shah, Matthew P. Kronman, Seth Sheffler‐Collins, Duncan W. Wilson, Scott A. Lorch, Brian D. Jones, Joan L. Slonczewski, John W. Murray, Allan W. Wolkoff and Yuan-Shung Huang. Their work appears in journals such as Journal of Virology, PEDIATRICS, Acta Haematologica, Biochemistry and Cancer.

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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