Yiting Pan

1.3k citations
54 papers · 1.1k · h-index 21

Impact in

  • Spectroscopy top 10%
    • Advanced Proteomics Techniques and Applications
    • Nanocluster Synthesis and Applications
    • Advanced Nanomaterials in Catalysis

Papers in

    • Glycosylation and Glycoproteins Research 8
    • Advanced biosensing and bioanalysis techniques 7
    • Acute Ischemic Stroke Management 8

Yiting Pan

52 papers receiving 1.0k citations

Peers

Yiting Pan
Comparison fields: 5 of 140
  • Spectroscopy 145
  • Materials Chemistry 304
  • Electronic, Optical and Magnetic Materials 118
  • Molecular Biology 402
  • Cell Biology 51
Replace Yun Liang with:
Yun Liang China
Caixia Ren China
Sachin Kumar Singh India
Paul Free United Kingdom
Shasha Lu China
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Yiting Pan relative to Yun Liang China Yun Liang's profile →
Citations per field
00.5×2×3.2×
Yun Liang · 1×
Citations per year

Countries citing papers authored by Yiting Pan

Since Specialization
Citations

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

Fields of papers citing papers by Yiting Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202095
2 201879
3 201463
4 201861
5 201353
6 201752
7 201548
8 201138
9 201435
10 201329
11 201727
12 202125
13 201825
14 201825
15 201625
16 201524
17 201423
18 202022
19 201822
20 202120

About Yiting Pan

Yiting Pan is a scholar working on Molecular Biology, Epidemiology, Spectroscopy, Materials Chemistry and Biomedical Engineering, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (8 papers), Acute Ischemic Stroke Management (8 papers), Advanced biosensing and bioanalysis techniques (7 papers), Nanocluster Synthesis and Applications (5 papers), Mass Spectrometry Techniques and Applications (5 papers), Cerebrovascular and Carotid Artery Diseases (4 papers), Gold and Silver Nanoparticles Synthesis and Applications (4 papers) and Advanced Proteomics Techniques and Applications (4 papers). The work is most often cited by research in Spectroscopy (145 citations), Materials Chemistry (304 citations), Electronic, Optical and Magnetic Materials (118 citations), Molecular Biology (402 citations) and Cell Biology (51 citations). Yiting Pan has collaborated with scholars based in China, Taiwan and Australia. Frequent co-authors include Weijie Qin, Xiaohong Qian, Haihong Bai, Manzhou Zhu, Haizhu Yu, Yueheng Peng, Abhisek Chakraborty, Luigi G. Occhipinti, Vincenzo Pecunia and Yen-Chu Huang. Their work appears in journals such as Talanta, Current Neurovascular Research, Analytical Chemistry, Journal of Asian Architecture and Building Engineering and Analytical Methods.

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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