E. Lin

2.1k citations
31 papers · 1.6k · h-index 20

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research
    • BRCA gene mutations in cancer
  • Oncology top 5%
    • CAR-T cell therapy research

Papers in

    • Viral-associated cancers and disorders 2
    • Cervical Cancer and HPV Research 7

E. Lin

30 papers receiving 1.6k citations

Peers

E. Lin
Comparison fields: 5 of 86
  • Genetics 255
  • Oncology 469
  • Hepatology 116
  • Pathology and Forensic Medicine 263
  • Cancer Research 203
Replace Diana F. Hausman with:
Diana F. Hausman United States
Gigliola Reato Italy
Emanuela Bonoldi Italy
László Kopper Hungary
Jeffrey J. Wallin United States
Friedrich Prall Germany
Hirotaka Matsui Japan
Maja J.A. de Jonge Netherlands
Chun‐Kui Shao China
Sherri Z. Millis United States
E. Lin relative to Diana F. Hausman United States Diana F. Hausman's profile →
Citations per field
00.5×2.6×
Diana F. Hausman · 1×
Citations per year

Countries citing papers authored by E. Lin

Since Specialization
Citations

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

Fields of papers citing papers by E. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007240
2 2011196
3 2009164
4 2011105
5 201186
6 200777
7 201275
8 200975
9 200960
10 200655
11 200954
12 201150
13 200945
14 201042
15 201141
16 201135
17 200828
18 200923
19 200521
20 200919

About E. Lin

E. Lin is a scholar working on Oncology, Epidemiology, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (7 papers), Acute Myeloid Leukemia Research (3 papers), Renal cell carcinoma treatment (2 papers), MRI in cancer diagnosis (2 papers), Viral-associated cancers and disorders (2 papers), Genital Health and Disease (2 papers), Molecular Biology Techniques and Applications (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Genetics (255 citations), Oncology (469 citations), Hepatology (116 citations), Pathology and Forensic Medicine (263 citations) and Cancer Research (203 citations). E. Lin has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Ming Guo, Nour Sneige, L. Jeffrey Medeiros, Pei Lin, C. Cameron Yin, Luis Fayad, Shaoying Li, Patrick A. Lennon, Roberto N. Miranda and Kenneth Aldape. Their work appears in journals such as Cancer, Journal of Clinical Oncology, Modern Pathology, American Journal of Clinical Pathology and Clinical Cancer Research.

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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