Ping Han

1000 citations
63 papers · 670 · h-index 14

Impact in

  • Hepatology top 10%
    • Liver Disease and Transplantation
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Cancer Immunotherapy and Biomarkers

Papers in

Ping Han

57 papers receiving 663 citations

Peers

Ping Han
Comparison fields: 5 of 100
  • Hepatology 75
  • Oncology 103
  • Cancer Research 51
  • Immunology 64
  • Epidemiology 84
Replace Christoph T. Germer with:
Christoph T. Germer Germany
Ulf K Radunski Germany
Tsung-Ming Chen Taiwan
Hiroto Matsuoka Japan
Hyery Kim South Korea
Jessica Sordet‐Dessimoz Switzerland
Eric Peltier France
Yoshiki Matoba Japan
Charles Roux France
Ping Han relative to Christoph T. Germer Germany Christoph T. Germer's profile →
Citations per field
00.5×5.9×
Christoph T. Germer · 1×
Citations per year

Countries citing papers authored by Ping Han

Since Specialization
Citations

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

Fields of papers citing papers by Ping Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016117
2 202052
3 201645
4 201938
5 201832
6 201927
7 201824
8 201723
9 201723
10 201822
11 202222
12 202117
13 201917
14 201415
15 202212
16 202111
17 202011
18 202010
19 202210
20 19978

About Ping Han

Ping Han is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging, Epidemiology, Pulmonary and Respiratory Medicine and Oncology, having authored 63 papers that have together received 670 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (9 papers), Liver Disease Diagnosis and Treatment (6 papers), MRI in cancer diagnosis (4 papers), Ferroptosis and cancer prognosis (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Pancreatic and Hepatic Oncology Research (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Inflammatory Bowel Disease (3 papers). The work is most often cited by research in Hepatology (75 citations), Oncology (103 citations), Cancer Research (51 citations), Immunology (64 citations) and Epidemiology (84 citations). Ping Han has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Dean Tian, Wenliang Fan, Jingmei Liu, Qiang Ding, Xin Li, Yujia Xia, Yuhui Fan, Shuping Ding, Panpan Lu and Mei Liu. Their work appears in journals such as Scientific Reports, Frontiers in Oncology, Scandinavian Journal of Gastroenterology, PLoS ONE and Frontiers in Human Neuroscience.

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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