Hong Pan

516 citations
23 papers · 419 · h-index 11

Impact in

  • Hepatology top 10%
    • Liver physiology and pathology
    • Cancer Immunotherapy and Biomarkers
    • Inflammatory Biomarkers in Disease Prognosis
    • Cancer Cells and Metastasis

Papers in

    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Cells and Metastasis 2
    • Inflammatory Biomarkers in Disease Prognosis 2
    • Breast Cancer Treatment Studies 5

Hong Pan

20 papers receiving 408 citations

Peers

Hong Pan
Comparison fields: 5 of 48
  • Hepatology 57
  • Oncology 113
  • Biomaterials 47
  • Cancer Research 50
  • Drug Discovery 1
Replace Feng Yao with:
Feng Yao China
Yasmin A. Lyons United States
Consuelo Martinez United States
Merel R. Aberle Netherlands
Dmitry Aleksandrovich Zinovkin Belarus
Senbang Yao China
Nico De Leu Belgium
Teresa I. Morales United States
Hong Pan relative to Feng Yao China Feng Yao's profile →
Citations per field
00.5×2×3×4.1×
Feng Yao · 1×
Citations per year

Countries citing papers authored by Hong Pan

Since Specialization
Citations

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

Fields of papers citing papers by Hong Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007104
2 202258
3 201841
4 201433
5 199530
6 202127
7 201519
8 201514
9 200213
10 200712
11 202411
12 201910
13 20209
14 20178
15 20178
16 20037
17 20077
18 20235
19 20192
20 20191

About Hong Pan

Hong Pan is a scholar working on Oncology, Cancer Research, Psychiatry and Mental health, Nephrology and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 419 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (5 papers), Epilepsy research and treatment (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Cells and Metastasis (2 papers), Prenatal Screening and Diagnostics (2 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Pregnancy and preeclampsia studies (1 paper) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Hepatology (57 citations), Oncology (113 citations), Biomaterials (47 citations), Cancer Research (50 citations) and Drug Discovery (1 citation). Hong Pan has collaborated with scholars based in China and Singapore. Frequent co-authors include Jian Wang, Wenbin Zhou, Xiaoan Liu, Lijun Ling, Xiru Wu, Muxin Yu, Xinrui Mao, Shengnan Liu, Xi Wang and Binbin Wang. Their work appears in journals such as Oncotarget, Progress in brain research, Cancer Management and Research, Molecular Cytogenetics and Research.

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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