Pan Su

570 citations
27 papers · 451 · h-index 11

Impact in

Papers in

Pan Su

25 papers receiving 440 citations

Peers

Pan Su
Comparison fields: 5 of 87
  • Biological Psychiatry 14
  • Cancer Research 64
  • Molecular Biology 199
  • Developmental Biology 5
  • Oncology 51
Replace Takahiro E. Ohara with:
Takahiro E. Ohara United States
Yu Tong Jin China
Jia Song China
Shengzhu Huang China
Mohamed E. El Sayed Egypt
I‐Ta Lee Taiwan
Cláudia A. Vanetti Italy
Zhangchen Zhao China
Shujuan Li China
Cong Liang China
Pan Su relative to Takahiro E. Ohara United States Takahiro E. Ohara's profile →
Citations per field
00.5×2×3×4.3×
Takahiro E. Ohara · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021182
2 201941
3 201631
4 201528
5
Synergistic action of iodine-deficiency and fluorine-intoxication on rat thyroid.
198818
6 201516
7 201916
8
[Efficacy and safety of intrauterine Bakri balloon tamponade in the treatment of postpartum hemorrhage: a multicenter analysis of 109 cases].
201416
9 202014
10 202114
11 202314
12 201411
13
Reconstitution of the skeletal muscle dihydropyridine receptor. Functional interaction among alpha 1, beta, gamma and alpha 2 delta subunits.
19969
14 20248
15 20208
16 20137
17 20184
18 20243
19 20253
20
[Allotransplantation of cultured fetal parathyroid gland cells in treating patients with hypoparathyroidism].
20002

About Pan Su

Pan Su is a scholar working on Cell Biology, Molecular Biology, Biological Psychiatry, Cancer Research and Immunology, having authored 27 papers that have together received 451 indexed citations. Recurring topics across this work include Plant Pathogens and Fungal Diseases (4 papers), Cancer-related molecular mechanisms research (3 papers), Tryptophan and brain disorders (2 papers), Plant-Microbe Interactions and Immunity (2 papers), Circular RNAs in diseases (2 papers), Ion channel regulation and function (2 papers), Reproductive System and Pregnancy (2 papers) and Mycorrhizal Fungi and Plant Interactions (2 papers). The work is most often cited by research in Biological Psychiatry (14 citations), Cancer Research (64 citations), Molecular Biology (199 citations), Developmental Biology (5 citations) and Oncology (51 citations). Pan Su has collaborated with scholars based in China, United States and India. Frequent co-authors include Qingfeng Cao, Xingsheng Ye, Jianping Hu, Chaokui Wang, Gangxiang Yuan, Shenglan Yi, Yiting Zhang, Hong Li, Xinyue Huang and Zhiyuan Wang. Their work appears in journals such as Plant Disease, DNA and Cell Biology, Disease Markers, Ophthalmic Genetics and Experimental Gerontology.

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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