Mingming Xu

28 papers receiving 409 citations

Mingming Xu's Hit Papers

Identification and validation of immune and oxidative stress-related diagnostic markers for diabetic nephropathy by WGCNA and machine learning 2023 · 88 citations
880+1+2Years since publication255075

Peers

Mingming Xu
Comparison fields: 5 of 78
  • Endocrinology 72
  • Immunology 68
  • Pollution 40
  • Inorganic Chemistry 30
  • Neurology 25
Replace Hideki Senoh with:
Hideki Senoh Japan
Yunhan Jiang China
Angela S. Fleischhacker United States
Dingdong Liu China
Chaoyi Chen China
Xiaomin Xu China
Erika Witasp Sweden
Agnieszka Matusiak Poland
David B. Nix United States
Mingming Xu relative to Hideki Senoh Japan Hideki Senoh's profile →
Citations per field
00.5×10×14×
Hideki Senoh · 1×
Citations per year

Countries citing papers authored by Mingming Xu

Since Specialization
Citations

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

Fields of papers citing papers by Mingming Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification and validation of immune and oxidative stress-related diagnostic markers for diabetic nephropathy by WGCNA and machine learning
Hit paper breakdown →
202388
2 199460
3 202456
4 202436
5 201431
6 202222
7 202517
8 199416
9 202514
10 202413
11 202411
12 199710
13 20237
14 20224
15 20223
16 20253
17 20242
18 20242
19 20252
20 20252

About Mingming Xu

Mingming Xu is a scholar working on Materials Chemistry, Molecular Biology, Inorganic Chemistry, Genetics and Renewable Energy, Sustainability and the Environment, having authored 31 papers that have together received 411 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (6 papers), Advanced Photocatalysis Techniques (3 papers), Nanocluster Synthesis and Applications (3 papers), interferon and immune responses (2 papers), Vibrio bacteria research studies (2 papers), Intracerebral and Subarachnoid Hemorrhage Research (2 papers), Advanced Nanomaterials in Catalysis (2 papers) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Endocrinology (72 citations), Immunology (68 citations), Pollution (40 citations), Inorganic Chemistry (30 citations) and Neurology (25 citations). Mingming Xu has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Koichiro Yamamoto, Tomoyuki Honda, Mei‐Yan Xu, Shangren Wang, Ping Hu, Hang Zhou, Li Liu, Xiaoqiang Liu, Rongmei Kong and Xuejun Sun. Their work appears in journals such as Frontiers in Endocrinology, Frontiers in Immunology, Diabetes Metabolic Syndrome and Obesity, Ecotoxicology and Environmental Safety and Infection and Immunity.

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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