Dana Lee

4.8k citations
19 papers · 861 · h-index 11

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
  • Neurology top 5%
    • CNS Lymphoma Diagnosis and Treatment

Papers in

Dana Lee

18 papers receiving 846 citations

Peers

Dana Lee
Comparison fields: 5 of 87
  • Genetics 170
  • Neurology 241
  • Pathology and Forensic Medicine 253
  • Oncology 176
  • Endocrinology, Diabetes and Metabolism 101
Replace Berardino Porfirio with:
Berardino Porfirio Italy
Patrycja M. Dubielecka United States
Henriett Butz Hungary
Colette Roche France
Douangsone D. Vadysirisack United States
Hans-Peter Seelig Germany
Roberto Bomprezzi United States
Laisvyde Statkute United States
Yoichiro Kato Japan
Miho Kimura Japan
Dana Lee relative to Berardino Porfirio Italy Berardino Porfirio's profile →
Citations per field
00.5×5.0×
Berardino Porfirio · 1×
Citations per year

Countries citing papers authored by Dana Lee

Since Specialization
Citations

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

Fields of papers citing papers by Dana Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dana 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 Dana Lee Line = papers co-authored together Dana Lee links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2002327
2 2006153
3 2013101
4 200174
5 200762
6 201245
7 202330
8 201316
9 201014
10 201811
11 202111
12 20168
13 20162
14 20222
15 20042
16 20201
17 20191
18 20141
19 20240

About Dana Lee

Dana Lee is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery, Hematology and Nutrition and Dietetics, having authored 19 papers that have together received 861 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (3 papers), Child Nutrition and Feeding Issues (2 papers), Protein Degradation and Inhibitors (2 papers), Adenosine and Purinergic Signaling (2 papers), Receptor Mechanisms and Signaling (2 papers), Lymphoma Diagnosis and Treatment (2 papers), Protein purification and stability (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Genetics (170 citations), Neurology (241 citations), Pathology and Forensic Medicine (253 citations), Oncology (176 citations) and Endocrinology, Diabetes and Metabolism (101 citations). Dana Lee has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Patrick Tso, J. Rosenberg, Antonio J Grillo-López, Michael McDermott, Dan Combs, James L. Rubenstein, Marc A. Shuman, Lloyd E. Damon, Kenneth Aldape and Arthur Shen. Their work appears in journals such as American Journal of Physiology-Gastrointestinal and Liver Physiology, Blood, Journal of Biological Chemistry, mAbs and American Heart Journal.

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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