Baohong Ping

782 citations
28 papers · 610 · h-index 10

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • Circular RNAs in diseases
    • RNA Interference and Gene Delivery

Papers in

    • Retinoids in leukemia and cellular processes 2
    • Acute Myeloid Leukemia Research 5
    • Autoimmune and Inflammatory Disorders Research 2

Baohong Ping

26 papers receiving 603 citations

Peers

Baohong Ping
Comparison fields: 5 of 86
  • Cancer Research 230
  • Molecular Biology 419
  • Genetics 35
  • Immunology 59
  • Neurology 36
Replace Anett Mázló with:
Anett Mázló Hungary
Germana Grassi Italy
Imène Melki Canada
Liqun Gu China
Katharine J. Goodall Australia
Zhongfang Zhao China
Danfeng Guo China
Víctor González‐Rumayor Spain
Olga Zharkova Singapore
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Citations per field
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Citations per year

Countries citing papers authored by Baohong Ping

Since Specialization
Citations

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

Fields of papers citing papers by Baohong Ping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017377
2 202253
3 202026
4 202025
5 201318
6 202014
7 202113
8 202012
9 202310
10 202110
11 20219
12 20085
13
[Application of methylene blue dye to sentinel lymph node biopsy in breast cancer and its influencing factors].
20075
14 20165
15 20244
16 20243
17 20213
18 20233
19 20173
20 20183

About Baohong Ping

Baohong Ping is a scholar working on Molecular Biology, Hematology, Immunology, Pulmonary and Respiratory Medicine and Genetics, having authored 28 papers that have together received 610 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Mesenchymal stem cell research (3 papers), Antifungal resistance and susceptibility (2 papers), interferon and immune responses (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Reproductive System and Pregnancy (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Cancer Research (230 citations), Molecular Biology (419 citations), Genetics (35 citations), Immunology (59 citations) and Neurology (36 citations). Baohong Ping has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lei Zheng, Xiumei Hu, Qian Wang, Taixue An, Xuping Xu, Ying-Song Wu, Sihua Qin, Yiyao Huang, Yong Xu and Yueting Tang. Their work appears in journals such as DNA and Cell Biology, Blood, Annals of Hematology, Journal of Inflammation Research and Frontiers in Genetics.

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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