Bao-Ning Su

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

Impact in

Papers in

Bao-Ning Su

24 papers receiving 1.3k citations

Peers

Bao-Ning Su
Comparison fields: 5 of 78
  • Toxicology 233
  • Complementary and alternative medicine 401
  • Pharmacology 166
  • Biochemistry 126
  • Biochemistry 79
Replace Ming‐Jaw Don with:
Ming‐Jaw Don Taiwan
Hee‐Byung Chai United States
Santi Tip‐pyang Thailand
Ayumi Ohsaki Japan
Mohd Aspollah Sukari Malaysia
Augustin E. Nkengfack Cameroon
Trần Văn Sung Vietnam
Ghulam Abbas Miana Pakistan
Kiyoshi Tagahara Japan
Leonardus B.S. Kardono Indonesia
Bao-Ning Su relative to Ming‐Jaw Don Taiwan Ming‐Jaw Don's profile →
Citations per field
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Ming‐Jaw Don · 1×
Citations per year

Countries citing papers authored by Bao-Ning Su

Since Specialization
Citations

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

Fields of papers citing papers by Bao-Ning Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bao-Ning 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 Bao-Ning Su. The network helps show where Bao-Ning Su may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002186
2 2005170
3 2004160
4 2004126
5 200289
6 200581
7 200872
8 200566
9
Silvestrol regulates G2/M checkpoint genes independent of p53 activity.
200645
10 200640
11 200436
12 200336
13 200434
14 200330
15 200329
16 200528
17 200527
18 200723
19 200422
20 200320

About Bao-Ning Su

Bao-Ning Su is a scholar working on Molecular Biology, Complementary and alternative medicine, Toxicology, Pharmacology and Biochemistry, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Phytochemical compounds biological activities (10 papers), Natural product bioactivities and synthesis (8 papers), Traditional and Medicinal Uses of Annonaceae (4 papers), Bioactive Compounds and Antitumor Agents (4 papers), Phytochemicals and Medicinal Plants (3 papers), Phytochemistry and Biological Activities (3 papers), Medicinal Plants and Neuroprotection (3 papers) and Essential Oils and Antimicrobial Activity (3 papers). The work is most often cited by research in Toxicology (233 citations), Complementary and alternative medicine (401 citations), Pharmacology (166 citations), Biochemistry (126 citations) and Biochemistry (79 citations). Bao-Ning Su has collaborated with scholars based in United States, Indonesia and South Korea. Frequent co-authors include A. Douglas Kinghorn, John M. Pezzuto, Alison D. Pawlus, Bernard D. Santarsiero, Andrew D. Mesecar, William J. Keller, Harry H. S. Fong, Steven M. Swanson, Norman R. Farnsworth and Eun‐Jung Park. Their work appears in journals such as Journal of Natural Products, Tetrahedron Letters, The Journal of Organic Chemistry, Phytochemistry and Bioorganic & Medicinal 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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