Ling Pan

4.9k citations
56 papers · 2.0k · 1 hit paper · h-index 17

Impact in

Papers in

    • Autophagy in Disease and Therapy 6
    • Sepsis Diagnosis and Treatment 5
    • Chronic Kidney Disease and Diabetes 9
    • Acute Kidney Injury Research 7
    • Renal Diseases and Glomerulopathies 5

Ling Pan

55 papers receiving 2.0k citations

Ling Pan's Hit Papers

A novel pathway regulates memory and plasticity via SIRT1 and miR-134 2010 · 814 citations
8140+5+10Years since publication250500750

Peers

Ling Pan
Comparison fields: 5 of 132
  • Geriatrics and Gerontology 201
  • Developmental Neuroscience 138
  • Biological Psychiatry 77
  • Cancer Research 412
  • Neurology 157
Replace Meilian Liu with:
Meilian Liu China
Yi Yang China
Shijin Xia China
Lin Song China
Qingyu Shen China
Xue Bai China
Abdelhamid Slama France
Camilla Schéele Denmark
Xuan Wang China
Ling Pan relative to Meilian Liu China Meilian Liu's profile →
Citations per field
00.5×4.9×
Meilian Liu · 1×
Citations per year

Countries citing papers authored by Ling Pan

Since Specialization
Citations

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

Fields of papers citing papers by Ling Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A novel pathway regulates memory and plasticity via SIRT1 and miR-134
Hit paper breakdown →
2010814
2 2016286
3 2021116
4 201184
5 202079
6 201466
7 201561
8 201549
9 201333
10 202231
11 201930
12 201429
13 201726
14 202325
15 198924
16 201619
17 199816
18 201816
19 201715
20 201815

About Ling Pan

Ling Pan is a scholar working on Epidemiology, Nephrology, Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine, having authored 56 papers that have together received 2.0k indexed citations. Recurring topics across this work include Chronic Kidney Disease and Diabetes (9 papers), Acute Kidney Injury Research (7 papers), Autophagy in Disease and Therapy (6 papers), Renal Diseases and Glomerulopathies (5 papers), Sepsis Diagnosis and Treatment (5 papers), Vitamin D Research Studies (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers). The work is most often cited by research in Geriatrics and Gerontology (201 citations), Developmental Neuroscience (138 citations), Biological Psychiatry (77 citations), Cancer Research (412 citations) and Neurology (157 citations). Ling Pan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Li-Huei Tsai, Ji‐Song Guan, Johannes Gräff, Do‐Hoon Kim, Susan C. Su, Jun Gao, Gloria K. Mak, Yingwei Mao, Zhenhua Yang and Yunhua Liao. Their work appears in journals such as Renal Failure, Scientific Reports, BMC Nephrology, Cell Death and Disease and Frontiers in Endocrinology.

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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