Eric P. Lester

60 papers receiving 1.7k citations

Peers

Eric P. Lester
Comparison fields: 5 of 119
  • Otorhinolaryngology 139
  • Oncology 450
  • Genetics 170
  • Pathology and Forensic Medicine 286
  • Biochemistry 83
Replace Jin Ho Paik with:
Jin Ho Paik South Korea
Ang Yuan Taiwan
Lifang Yang China
Hushan Yang United States
Alessandro Ottaiano Italy
Marc O. Warmoes United States
Nils Brünner Denmark
Wang Li China
Itaru Yamamoto Japan
Eric P. Lester relative to Jin Ho Paik South Korea Jin Ho Paik's profile →
Citations per field
00.5×4.2×
Jin Ho Paik · 1×
Citations per year

Countries citing papers authored by Eric P. Lester

Since Specialization
Citations

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

Fields of papers citing papers by Eric P. Lester

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric P. Lester. 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 Eric P. Lester. The network helps show where Eric P. Lester may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980261
2 2010165
3
Phase I clinical study of fish oil fatty acid capsules for patients with cancer cachexia: cancer and leukemia group B study 9473.
199989
4 198980
5 199277
6 200666
7 201064
8 200264
9 197659
10 200856
11
Inhibition of human lymphocyte transformation by human alpha-foetoprotein (HAFP); comparison of foetal and hepatoma HAFP and kinetic studies in vitro immunosuppression.
197647
12 197744
13 198937
14
Some extensions to the GELLAB two-dimensional electrophoretic gel analysis system.
198237
15 197837
16 198236
17 199135
18 200533
19 198031
20 200830

About Eric P. Lester

Eric P. Lester is a scholar working on Oncology, Molecular Biology, Surgery, Pulmonary and Respiratory Medicine and Pathology and Forensic Medicine, having authored 60 papers that have together received 1.8k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Lung Cancer Treatments and Mutations (9 papers), Head and Neck Cancer Studies (7 papers), Advanced Proteomics Techniques and Applications (7 papers), Nausea and vomiting management (6 papers), Lung Cancer Research Studies (6 papers), Chronic Lymphocytic Leukemia Research (5 papers) and Prenatal Screening and Diagnostics (4 papers). The work is most often cited by research in Otorhinolaryngology (139 citations), Oncology (450 citations), Genetics (170 citations), Pathology and Forensic Medicine (286 citations) and Biochemistry (83 citations). Eric P. Lester has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Stanley Yachnin, Herbert L. Cooper, Lewis E. Lipkin, John B. Miller, Soo Il Chung, J.E. Folk, J. Schrode, Everett E. Vokes, Janet Dancey and Koen van Besien. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Clinical Chemistry, The Journal of Immunology and Electrophoresis.

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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