Jui‐Lan Su

2.6k citations
21 papers · 842 · h-index 13

Impact in

Papers in

Jui‐Lan Su

21 papers receiving 792 citations

Peers

Jui‐Lan Su
Comparison fields: 5 of 82
  • Immunology and Allergy 99
  • Rheumatology 108
  • Cancer Research 95
  • Molecular Biology 419
  • Genetics 154
Replace T Kikuchi with:
T Kikuchi Japan
Agnieszka Strzelecka‐Kiliszek Poland
Catharine J. Andresen United States
Gregory S. Kelner United States
Thorsten Sadowski Germany
Lívius Wunderlich Hungary
Hirokazu Kurata Japan
Kathy Barrett United Kingdom
María Ángeles García-López Spain
Pia Wallbrandt Sweden
Jui‐Lan Su relative to T Kikuchi Japan T Kikuchi's profile →
Citations per field
00.5×2.6×
T Kikuchi · 1×
Citations per year

Countries citing papers authored by Jui‐Lan Su

Since Specialization
Citations

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

Fields of papers citing papers by Jui‐Lan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui‐Lan Su. 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 Jui‐Lan Su. The network helps show where Jui‐Lan Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997158
2 1999134
3 200176
4 198272
5 199770
6 199269
7 200255
8 200050
9 199837
10 199120
11 200020
12 200417
13 199713
14 19999
15 19959
16 20048
17 20007
18 19786
19 19955
20 20035

About Jui‐Lan Su

Jui‐Lan Su is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Surgery, Oncology and Genetics, having authored 21 papers that have together received 842 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Adipose Tissue and Metabolism (3 papers), T-cell and B-cell Immunology (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Apelin-related biomedical research (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Immunology and Allergy (99 citations), Rheumatology (108 citations), Cancer Research (95 citations), Molecular Biology (419 citations) and Genetics (154 citations). Jui‐Lan Su has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Indu Parikh, Katherine E. Kilpatrick, Jeffrey P. Northrop, Jeffrey Grove, G M Ringold, Bruno Moncharmont, William Burkhart, Barbara L. Schumacher, Klaus E. Kuettner and Thomas A. Kost. Their work appears in journals such as Endocrinology, Journal of Immunological Methods, The Anatomical Record, FEBS Letters and Journal of Biological Chemistry.

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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