Zhen Ping

473 citations
5 papers · 399 · h-index 5

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Mesenchymal stem cell research
    • Blood disorders and treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Hematopoietic Stem Cell Transplantation 4
    • Acute Myeloid Leukemia Research 1
    • IL-33, ST2, and ILC Pathways 1

Zhen Ping

5 papers receiving 398 citations

Peers

Zhen Ping
Comparison fields: 5 of 32
  • Hematology 271
  • Genetics 44
  • Biological Psychiatry 2
  • Immunology 26
  • Molecular Biology 81
Replace Keane Jared Guillaume Kenswil with:
Keane Jared Guillaume Kenswil Netherlands
Damià Romero–Moya Spain
Antonella Santoro United Kingdom
Andrew Jarratt Australia
Francesca Messa Italy
Madelon M.E. de Jong Netherlands
S. Wehner Germany
Monika J. Stankiewicz United States
Maja Jankovic United States
Batchimeg Usukhbayar United Kingdom
Zhen Ping relative to Keane Jared Guillaume Kenswil Netherlands Keane Jared Guillaume Kenswil's profile →
Citations per field
00.5×1.5×
Keane Jared Guillaume Kenswil · 1×
Citations per year

Countries citing papers authored by Zhen Ping

Since Specialization
Citations

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

Fields of papers citing papers by Zhen Ping

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Zhen 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 Zhen Ping Line = papers co-authored together Zhen Ping links everyone, so they are left out of the graph.

All Works

5 of 5 papers shown

About Zhen Ping

Zhen Ping is a scholar working on Hematology, Immunology, Oncology, Molecular Biology and Genetics, having authored 5 papers that have together received 399 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (4 papers), IL-33, ST2, and ILC Pathways (1 paper), Ubiquitin and proteasome pathways (1 paper), Angiogenesis and VEGF in Cancer (1 paper), Acute Myeloid Leukemia Research (1 paper), Blood disorders and treatments (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Hematology (271 citations), Genetics (44 citations), Biological Psychiatry (2 citations), Immunology (26 citations) and Molecular Biology (81 citations). Zhen Ping has collaborated with scholars based in Netherlands and United States. Frequent co-authors include Remco Michiel Hoogenboezem, Marc H.G.P. Raaijmakers, Tarig Bashir, Keane Jared Guillaume Kenswil, Daniele Guardavaccaro, Michele Pagano, Hans Stoop, P.K. Bos, Bram C. J. van der Eerden and Mathijs Arnoud Sanders. Their work appears in journals such as Cell stem cell, Leukemia, Nature Communications, Cell Cycle and Cell Reports.

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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