Xiao-Mei Qi

1.0k citations
29 papers · 819 · h-index 16

Impact in

Papers in

    • Melanoma and MAPK Pathways 12
    • Protein Kinase Regulation and GTPase Signaling 8
    • Protein Tyrosine Phosphatases 4
    • Retinoids in leukemia and cellular processes 3
    • PI3K/AKT/mTOR signaling in cancer 3
    • Cytokine Signaling Pathways and Interactions 7

Xiao-Mei Qi

27 papers receiving 805 citations

Peers

Xiao-Mei Qi
Comparison fields: 5 of 88
  • Molecular Medicine 47
  • Oncology 218
  • Pathology and Forensic Medicine 127
  • Molecular Biology 494
  • Cancer Research 99
Replace Kanchan Vishnoi with:
Kanchan Vishnoi United States
Horacio Astudillo‐de la Vega Mexico
Maria Anele Romeo Italy
Gerson Moura Ferreira Brazil
Sutapa Sinha United States
Changyou Li United States
Jie Ma China
Iris Maria Forte Italy
Balaji Ramachandran India
Hironori Matsuyama Japan
Xiao-Mei Qi relative to Kanchan Vishnoi United States Kanchan Vishnoi's profile →
Citations per field
00.5×2.8×
Kanchan Vishnoi · 1×
Citations per year

Countries citing papers authored by Xiao-Mei Qi

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Mei Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-Mei Qi. 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 Xiao-Mei Qi. The network helps show where Xiao-Mei Qi may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003128
2 200281
3 202067
4 200557
5 200756
6 200455
7 201744
8 200642
9 201535
10 200429
11 201228
12 201126
13 199825
14 201225
15 200624
16 201420
17 201515
18 201814
19 20229
20 20239

About Xiao-Mei Qi

Xiao-Mei Qi is a scholar working on Molecular Biology, Oncology, Genetics, Pathology and Forensic Medicine and Molecular Medicine, having authored 29 papers that have together received 819 indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (12 papers), Protein Kinase Regulation and GTPase Signaling (8 papers), Cytokine Signaling Pathways and Interactions (7 papers), Protein Tyrosine Phosphatases (4 papers), Retinoids in leukemia and cellular processes (3 papers), Estrogen and related hormone effects (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Antibiotic Resistance in Bacteria (2 papers). The work is most often cited by research in Molecular Medicine (47 citations), Oncology (218 citations), Pathology and Forensic Medicine (127 citations), Molecular Biology (494 citations) and Cancer Research (99 citations). Xiao-Mei Qi has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Guan Chen, Jiahuai Han, Rocky Pramanik, Richard M. Schultz, Jun Tang, Stanley Borowicz, Divaker Choubey, Mathew Loesch, Nicole M. Pohl and Songwang Hou. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Oncotarget, Frontiers in Bioscience-Landmark and Acta Pharmaceutica Sinica B.

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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