Min Xia

29 papers receiving 748 citations

Peers

Min Xia
Comparison fields: 5 of 73
  • Hematology 184
  • Genetics 130
  • Oncology 321
  • Immunology 248
  • Cancer Research 123
Replace Ikuya Sakai with:
Ikuya Sakai Japan
P. Varlet France
Jianqiong Zhu United States
Joseph R. Voland United States
James Ihle United States
Sudipta Mahajan United States
Yoko Okitsu Japan
Steven D. Hughes United States
Angela Gernone Italy
Julie A. Lucas United States
Min Xia relative to Ikuya Sakai Japan Ikuya Sakai's profile →
Citations per field
00.5×6.2×
Ikuya Sakai · 1×
Citations per year

Countries citing papers authored by Min Xia

Since Specialization
Citations

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

Fields of papers citing papers by Min Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995305
2 1995126
3 199558
4 201845
5 200637
6 200837
7 202126
8 199020
9 201514
10 202212
11 199211
12 201811
13 20248
14 20206
15
[Study of the association between paraoxonase1 55 Met/Leu, paraoxonase2 148 Ala/Gly and manganese superoxide dismutase (MnSOD) 9 Ala/Val genetic polymorphisms and coronary heart disease].
20066
16
[Relationship between paraoxonase 1 55 Met/Leu, paraoxonase 2 148 Ala/Gly genetic polymorphisms and coronary artery disease].
20066
17 20255
18 20214
19 20244
20 20204

About Min Xia

Min Xia is a scholar working on Toxicology, Hematology, Cancer Research, Immunology and Clinical Biochemistry, having authored 33 papers that have together received 762 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (3 papers), Peptidase Inhibition and Analysis (3 papers), MicroRNA in disease regulation (3 papers), Protein Degradation and Inhibitors (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), Immune Cell Function and Interaction (2 papers), Lymphoma Diagnosis and Treatment (2 papers) and Economic Development and Digital Transformation (2 papers). The work is most often cited by research in Hematology (184 citations), Genetics (130 citations), Oncology (321 citations), Immunology (248 citations) and Cancer Research (123 citations). Min Xia has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Chris Saris, Mohd Azam, Frederick W. Quelle, Roshni Basu, Christian Schindler, Paul Tempst, James N. Ihle, Hediye Erdjument‐Bromage, Patricia McElroy and Frederick A. Fletcher. Their work appears in journals such as Blood, Medicine, International Journal of Technology Management, GeroScience and Clinical & Translational Oncology.

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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