Meichen Pan

450 citations
38 papers · 332 · h-index 11

Impact in

    • Hemoglobinopathies and Related Disorders
    • Iron Metabolism and Disorders

Papers in

    • Advanced biosensing and bioanalysis techniques 3
    • Hemoglobinopathies and Related Disorders 3
    • Connective tissue disorders research 3

Meichen Pan

33 papers receiving 325 citations

Peers

Meichen Pan
Comparison fields: 5 of 85
  • Genetics 47
  • Hematology 33
  • Electrochemistry 17
  • Molecular Biology 128
  • Pediatrics, Perinatology and Child Health 30
Replace Geraldine Kaeslin with:
Geraldine Kaeslin Australia
Suprava Patel India
María‐José Moreno Spain
R. González Spain
Jesper Petersen Denmark
Kanika Singh India
L Karasová Czechia
Qunxing An China
Yogendra Singh Rathore India
Meichen Pan relative to Geraldine Kaeslin Australia Geraldine Kaeslin's profile →
Citations per field
00.5×
Geraldine Kaeslin · 1×
Citations per year

Countries citing papers authored by Meichen Pan

Since Specialization
Citations

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

Fields of papers citing papers by Meichen Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202438
2 201138
3 202334
4 201733
5 201221
6 202317
7 202215
8 201815
9 201513
10 202413
11 202110
12 201410
13 20167
14 20217
15 20197
16 20227
17 20205
18 20225
19 20244
20 20254

About Meichen Pan

Meichen Pan is a scholar working on Molecular Biology, Genetics, Mechanical Engineering, Materials Chemistry and Genetics, having authored 38 papers that have together received 332 indexed citations. Recurring topics across this work include Aortic Disease and Treatment Approaches (4 papers), Microstructure and mechanical properties (3 papers), Hemoglobinopathies and Related Disorders (3 papers), Iron Metabolism and Disorders (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Connective tissue disorders research (3 papers), Biosensors and Analytical Detection (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Genetics (47 citations), Hematology (33 citations), Electrochemistry (17 citations), Molecular Biology (128 citations) and Pediatrics, Perinatology and Child Health (30 citations). Meichen Pan has collaborated with scholars based in China, Poland and Germany. Frequent co-authors include Xiu‐Li Tao, Ruo Yuan, Ying Zhuo, Yingmu Cai, Xiao-Fen Zhan, Li‐Ye Yang, Weijia Zeng, Yuxuan Chen, Fen Lin and Daqian Song. Their work appears in journals such as Forensic Science Medicine and Pathology, SLAS TECHNOLOGY, International Journal of Legal Medicine, Materials and Blood Cells Molecules and Diseases.

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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