Xiaohong Pu

776 citations
42 papers · 530 · h-index 12

Impact in

    • Cancer, Hypoxia, and Metabolism
    • Pancreatic and Hepatic Oncology Research
    • HER2/EGFR in Cancer Research

Papers in

    • Hedgehog Signaling Pathway Studies 5
    • Epigenetics and DNA Methylation 4
    • Cholangiocarcinoma and Gallbladder Cancer Studies 11
    • Pediatric Hepatobiliary Diseases and Treatments 2

Xiaohong Pu

38 papers receiving 523 citations

Peers

Xiaohong Pu
Comparison fields: 5 of 77
  • Cancer Research 67
  • Oncology 110
  • Molecular Biology 260
  • Pulmonary and Respiratory Medicine 67
  • Cell Biology 36
Replace I‐Ying Kuo with:
I‐Ying Kuo Taiwan
Patrick Eulitt United States
Eleanor Hilliard United States
Mou Peng China
Feda H. Hamdan United States
Alena Bartáková United States
Tadahiko Nakagawa Japan
Byung–Kyu Ryu South Korea
Maria Pelullo Italy
Svetlana Miklikova Slovakia
Xiaohong Pu relative to I‐Ying Kuo Taiwan I‐Ying Kuo's profile →
Citations per field
00.5×1.6×
I‐Ying Kuo · 1×
Citations per year

Countries citing papers authored by Xiaohong Pu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Pu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021138
2 201192
3 202437
4 201426
5 202122
6 202118
7 202217
8 202314
9 201513
10 201912
11 202312
12 201811
13 20209
14 20229
15 20218
16 20188
17 20208
18 20207
19 20236
20 20236

About Xiaohong Pu

Xiaohong Pu is a scholar working on Molecular Biology, Surgery, Oncology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 42 papers that have together received 530 indexed citations. Recurring topics across this work include Cholangiocarcinoma and Gallbladder Cancer Studies (11 papers), Hedgehog Signaling Pathway Studies (5 papers), Renal cell carcinoma treatment (4 papers), Epigenetics and DNA Methylation (4 papers), Genetic factors in colorectal cancer (4 papers), Cancer Genomics and Diagnostics (3 papers), Pancreatic and Hepatic Oncology Research (3 papers) and Pediatric Hepatobiliary Diseases and Treatments (2 papers). The work is most often cited by research in Cancer Research (67 citations), Oncology (110 citations), Molecular Biology (260 citations), Pulmonary and Respiratory Medicine (67 citations) and Cell Biology (36 citations). Xiaohong Pu has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Shen Yue, Steven Y. Cheng, Lu Xie, Tian Jin, Yan Chen, Xiangshan Fan, Beicheng Sun, Yao Fu, Jiong Shi and Hua Su. Their work appears in journals such as Frontiers in Oncology, Journal of Cancer Research and Clinical Oncology, Human Pathology, Cell & Bioscience and Cell Death and Disease.

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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