E. Lin

2.3k citations
47 papers · 1.7k indexed · h-index 20

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • Chronic Lymphocytic Leukemia Research
    • BRCA gene mutations in cancer
  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis

Papers in

E. Lin

44 papers receiving 1.7k citations

Peers

E. Lin
Comparison fields: 5 of 96
  • Genetics 297
  • Hepatology 200
  • Oncology 590
  • Cancer Research 270
  • Pathology and Forensic Medicine 304
Replace Diana F. Hausman with:
Diana F. Hausman United States
Emanuela Bonoldi Italy
Romano Colombari Italy
Kuniyuki Oka Japan
Tammy Huang United States
Joan Somja Belgium
Sherri Z. Millis United States
Hirotaka Matsui Japan
Daniel H. Ahn United States
Jeffrey J. Wallin United States
E. Lin relative to Diana F. Hausman United States Diana F. Hausman's profile →
Citations per field
00.5×2.7×
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 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007239
2 2011196
3 2009159
4 2011105
5 201184
6 200777
7 201275
8 200974
9 200959
10 200655
11 200954
12 201149
13 200945
14 201042
15 201141
16 201134
17 200826
18 201825
19 200923
20 200521

About E. Lin

E. Lin is a scholar working on Hepatology, Oncology, Radiology, Nuclear Medicine and Imaging, Hematology and Epidemiology, having authored 47 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (12 papers), Cervical Cancer and HPV Research (7 papers), MRI in cancer diagnosis (6 papers), Acute Myeloid Leukemia Research (4 papers), Advanced X-ray and CT Imaging (4 papers), Renal cell carcinoma treatment (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers) and Multiple Myeloma Research and Treatments (3 papers). The work is most often cited by research in Genetics (297 citations), Hepatology (200 citations), Oncology (590 citations), Cancer Research (270 citations) and Pathology and Forensic Medicine (304 citations). E. Lin has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Ming Guo, Nour Sneige, L. Jeffrey Medeiros, C. Cameron Yin, Pei Lin, Patrick A. Lennon, Luis Fayad, Roberto N. Miranda, Shaoying Li and Kenneth Aldape. Their work appears in journals such as Cancer, Modern Pathology, Journal of Clinical Oncology, CardioVascular and Interventional Radiology and Journal of Vascular and Interventional Radiology.

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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