Pan Su

1.2k citations
47 papers · 969 · h-index 18

Impact in

Papers in

Pan Su

40 papers receiving 943 citations

Peers

Pan Su
Comparison fields: 5 of 107
  • Toxicology 106
  • Radiology, Nuclear Medicine and Imaging 257
  • Biomaterials 114
  • Molecular Biology 374
  • Organic Chemistry 125
Replace Nobuo Kubota with:
Nobuo Kubota Japan
Rodney Pearlman United States
Jun Lin China
Corinne Beinat United States
Elisha Berman Israel
Robert Hopewell Canada
Xinheng He China
Yan Gong China
David A. Ammar United States
Bhami C. Shenoy United States
Pan Su relative to Nobuo Kubota Japan Nobuo Kubota's profile →
Citations per field
00.5×8.8×
Nobuo Kubota · 1×
Citations per year

Countries citing papers authored by Pan Su

Since Specialization
Citations

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

Fields of papers citing papers by Pan Su

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pan 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 Pan Su Line = papers co-authored together Pan Su 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 199895
2 201673
3 201871
4
NAD(P)H:quinone oxidoreductase expression and mitomycin C resistance developed by human colon cancer HCT 116 cells.
199568
5 200065
6 201562
7 198654
8 198650
9 200147
10 200144
11 201832
12 202129
13 202024
14 202024
15 200124
16
Interaction of N,N',N''-triethylenethiophosphoramide and N,N',N''-triethylenephosphoramide with cellular DNA.
199124
17 199322
18 201919
19 202017
20 198815

About Pan Su

Pan Su is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Organic Chemistry and Atomic and Molecular Physics, and Optics, having authored 47 papers that have together received 969 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (9 papers), Advanced biosensing and bioanalysis techniques (6 papers), Bioactive Compounds and Antitumor Agents (4 papers), Advanced Neuroimaging Techniques and Applications (4 papers), DNA and Nucleic Acid Chemistry (4 papers), RNA Interference and Gene Delivery (3 papers), Video Analysis and Summarization (3 papers) and Atomic and Subatomic Physics Research (3 papers). The work is most often cited by research in Toxicology (106 citations), Radiology, Nuclear Medicine and Imaging (257 citations), Biomaterials (114 citations), Molecular Biology (374 citations) and Organic Chemistry (125 citations). Pan Su has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Hiroshi Matsui, Hanzhang Lu, Gary E. Douberly, Peiying Liu, Bogdan Gologan, Yang Li, N R Bachur, Deng Mao, L T Hu and Nicholas R. Bachur. Their work appears in journals such as Magnetic Resonance in Medicine, Molecular Pharmacology, The Journal of Physical Chemistry B, NMR in Biomedicine and Journal of Magnetic Resonance Imaging.

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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