Xiaomin Wang

1.4k citations
74 papers · 891 · h-index 18

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • PI3K/AKT/mTOR signaling in cancer
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • Photosynthetic Processes and Mechanisms

Papers in

    • Epigenetics and DNA Methylation 7
    • PI3K/AKT/mTOR signaling in cancer 5
    • Acute Myeloid Leukemia Research 10
    • Hematopoietic Stem Cell Transplantation 8

Xiaomin Wang

70 papers receiving 886 citations

Peers

Xiaomin Wang
Comparison fields: 5 of 97
  • Hematology 117
  • Molecular Biology 419
  • Cancer Research 82
  • Plant Science 220
  • Immunology 94
Replace Rodica P. Bunaciu with:
Rodica P. Bunaciu United States
Wenhui Zhu China
Gennadiy Kovtunovych United States
Shiguang Yu United States
Jiaxin Liu China
Bin Guo China
Yang Su China
Wooyoung Jeong South Korea
Rosanna Martinelli Italy
Belynda Hicks United States
Xiaomin Wang relative to Rodica P. Bunaciu United States Rodica P. Bunaciu's profile →
Citations per field
00.5×8.5×
Rodica P. Bunaciu · 1×
Citations per year

Countries citing papers authored by Xiaomin Wang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaomin Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201548
2 201148
3 200846
4 201445
5 202027
6 201427
7 202126
8 201326
9 201226
10 201626
11 201626
12 201525
13 201924
14 201522
15 201721
16 201621
17 201020
18 202117
19 201916
20 201415

About Xiaomin Wang

Xiaomin Wang is a scholar working on Molecular Biology, Hematology, Plant Science, Immunology and Genetics, having authored 74 papers that have together received 891 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (10 papers), Hematopoietic Stem Cell Transplantation (8 papers), Epigenetics and DNA Methylation (7 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Virus-based gene therapy research (5 papers), Plant Stress Responses and Tolerance (5 papers), Animal Virus Infections Studies (4 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Hematology (117 citations), Molecular Biology (419 citations), Cancer Research (82 citations), Plant Science (220 citations) and Immunology (94 citations). Xiaomin Wang has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Weiping Yuan, Yurong Bi, Yajing Chu, Huahua Wang, Tao Cheng, Weili Wang, Zeyong Zhang, Qimin Zhan, Jun Shi and Jian Yang. Their work appears in journals such as Scientific Reports, Leukemia, PLoS ONE, Frontiers in Cell and Developmental Biology and Blood.

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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