Julia C. Lin

1.5k citations
20 papers · 1.3k · h-index 12

Impact in

Papers in

    • Pancreatic function and diabetes 4
    • Tissue Engineering and Regenerative Medicine 2
    • Bladder and Urothelial Cancer Treatments 2
    • Congenital heart defects research 2
    • Signaling Pathways in Disease 1

Julia C. Lin

19 papers receiving 1.2k citations

Peers

Julia C. Lin
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 260
  • Cell Biology 203
  • Molecular Biology 697
  • Genetics 271
  • Surgery 380
Replace Machi Furuta with:
Machi Furuta Japan
Luca Grumolato France
Koji Nata Japan
Esw Ngan Hong Kong
Louis Ercolani United States
Masao Katoh Japan
Atsunori Saraya Japan
Mary Lynn Duckworth Canada
Claude Tougard France
Louis H. Ferland United States
Julia C. Lin relative to Machi Furuta Japan Machi Furuta's profile →
Citations per field
00.5×1.5×
Machi Furuta · 1×
Citations per year

Countries citing papers authored by Julia C. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Julia C. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2002250
2 1988245
3 2001207
4 1989133
5 199396
6 199988
7
Establishment and characterization of four human bladder tumor cell lines and sublines with different degrees of malignancy.
198576
8 200445
9 197839
10 199331
11 200324
12 198814
13 198811
14 20249
15 20029
16 19879
17 19927
18 19822
19 19812
20 20250

About Julia C. Lin

Julia C. Lin is a scholar working on Surgery, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Genetics, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (4 papers), Acute Ischemic Stroke Management (2 papers), Tissue Engineering and Regenerative Medicine (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Congenital heart defects research (2 papers), Cerebrovascular and Carotid Artery Diseases (2 papers) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (260 citations), Cell Biology (203 citations), Molecular Biology (697 citations), Genetics (271 citations) and Surgery (380 citations). Julia C. Lin has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Joel F. Habener, Paul Deutsch, James P. Hoeffler, Edward V. Maytin, Mariano Ubeda, Elizabeth Abraham, Colin A. Leech, Henryk Zulewski, J. Larry Jameson and George R. Prout. Their work appears in journals such as Neuroradiology, Endocrinology, Journal of Biological Chemistry, FEBS Letters and Circulation 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.

Explore authors with similar magnitude of impact