Jui‐Lan Su

3.2k citations
23 papers · 1.4k · h-index 14

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 3
    • Peroxisome Proliferator-Activated Receptors 3
    • Viral Infectious Diseases and Gene Expression in Insects 3
    • Metabolism, Diabetes, and Cancer 2
    • Monoclonal and Polyclonal Antibodies Research 5

Jui‐Lan Su

23 papers receiving 1.3k citations

Peers

Jui‐Lan Su
Comparison fields: 5 of 88
  • Genetics 552
  • Immunology and Allergy 88
  • Oncology 275
  • Cancer Research 132
  • Rheumatology 119
Replace Gary J. Williams with:
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Citations per field
00.5×1.7×
Gary J. Williams · 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 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998453
2 1997167
3 1999141
4 200181
5 198281
6 199273
7 199771
8 200257
9 200054
10 199839
11 199122
12 200021
13 200417
14 199713
15 199910
16 200210
17 19959
18 20049
19 20007
20 19786

About Jui‐Lan Su

Jui‐Lan Su is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Genetics, Surgery and Oncology, having authored 23 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (5 papers), Glycosylation and Glycoproteins Research (3 papers), T-cell and B-cell Immunology (3 papers), Adipose Tissue and Metabolism (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), Metabolism, Diabetes, and Cancer (2 papers) and Protease and Inhibitor Mechanisms (2 papers). The work is most often cited by research in Genetics (552 citations), Immunology and Allergy (88 citations), Oncology (275 citations), Cancer Research (132 citations) and Rheumatology (119 citations). Jui‐Lan Su has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include David D. McKee, John T. Moore, Linda B. Moore, Stacey A. Jones, Kimberly Slentz‐Kesler, Jürgen M. Lehmann, Steven A. Kliewer, Timothy M. Willson, Indu Parikh and Katherine E. Kilpatrick. Their work appears in journals such as Journal of Immunological Methods, Endocrinology, Journal of Biological Chemistry, Protein Expression and Purification and Biochemical and Biophysical Research Communications.

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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