Fen Pan

1.2k citations
59 papers · 826 indexed · h-index 16
Topics
Antibiotic Resistance in Bacteria (15 papers)Functional Brain Connectivity Studies (12 papers)Bacterial Identification and Susceptibility Testing (7 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Fen Pan

56 papers receiving 816 citations

Peers

Fen Pan
Comparison fields: 5 of 107
  • Molecular Medicine 263
  • Molecular Biology 171
  • Epidemiology 166
  • Cognitive Neuroscience 131
  • Endocrinology 113
Replace Yingmei Fu with:
Yingmei Fu China
Renchi Fang China
Ruth Kandel United States
Ingrid Moráles Spain
Elsé Marais South Africa
Zhijian Yu China
María Gómez‐Ruíz Spain
Saba Riaz Pakistan
Ishay Ostfeld Israel
Marı́a Luisa Gómez-Lus Spain
Fen Pan relative to Yingmei Fu China Yingmei Fu's profile →
Citations per field
00.5×1.5×1.8×
Yingmei Fu · 1×
Citations per year

Countries citing papers authored by Fen Pan

Since Specialization
Citations

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

Fields of papers citing papers by Fen Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fen Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Fen Pan. A scholar is included among the top collaborators of Fen Pan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fen Pan. Fen Pan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 3
3 2
4 0
5 3
6 11
7 35
8 1
9 9
10 3
11 49
12 10
13 16
14
Insights into the H 2 O/V 2 O 5 Interface Structure for Optimizing Water-splitting
1
15 38
16 15
17 6
18 36
19
Groundwater recharge environment and geochemistry evolution of the Quaternary aquifer in the Dunzhiyuan region,Gansu Province
1
20
Effect of NEP1-40 in inhibiting neurite outgrowth on neonatal rats with hypoxic ischemic brain damage
1

About Fen Pan

Fen Pan is a scholar working on Molecular Medicine, Biological Psychiatry and Endocrinology, having authored 59 papers that have together received 826 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (15 papers), Functional Brain Connectivity Studies (12 papers) and Bacterial Identification and Susceptibility Testing (7 papers). The work is most often cited by research in Molecular Medicine (263 citations), Biological Psychiatry (56 citations) and Endocrinology (113 citations). Fen Pan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Hong Zhang, Chun Wang, Yan Sun, Manli Huang, Yingying Shi, Dongxing Tian, Yi Xu, Shaojia Lu, Tiandong Zhang and Shaohua Hu. Their work appears in journals such as PLoS ONE, Advanced Functional Materials and Frontiers in Immunology.

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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