Xiaoming Zou

1.0k citations
25 papers · 825 indexed · 1 hit paper · h-index 13

Xiaoming Zou

24 papers receiving 815 citations

Hit Papers

Identification of lactylation related model to predict pr...882023202620242025255075

Peers

Xiaoming Zou
Comparison fields: 5 of 80
  • Virology 125
  • Pharmacology 119
  • Immunology 241
  • Cancer Research 114
  • Oncology 155
Replace Marco H. Hofmann with:
Marco H. Hofmann Austria
Ba-Bie Teng United States
Run–Xuan Shao Japan
Émilie Crouchet France
Xiaohong Zhang China
Carla Washington United States
Nirupma Trehanpati India
James W. Darnowski United States
Hui‐Jia Dong United States
Delia Susan‐Resiga Canada
Xiaoming Zou relative to Marco H. Hofmann Austria Marco H. Hofmann's profile →
Citations per field
00.5×4.8×
Marco H. Hofmann · 1×
Citations per year

Countries citing papers authored by Xiaoming Zou

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Zou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3
Identification of lactylation related model to predict prognostic, tumor infiltrating immunocytes and response of immunotherapy in gastric cancerbreakdown →
202388
4 202318
5 20222
6 20229
7 202219
8 20227
9 202021
10 201916
11 201622
12 20138
13 20133
14 2009128
15 20089
16 200729
17 2006103
18
[Experimental study of cerebral protection by retrograde vs selective antegrade cerebral perfusion during deep hypothermic circulatory arrest].
20061
19
Three cases of hyperlipidemic pancreatitis in late pregnancy.
20041
20 199551

About Xiaoming Zou

Xiaoming Zou is a scholar working on Developmental Neuroscience, Immunology and Hematology, having authored 25 papers that have together received 825 indexed citations. Recurring topics across this work include Immune cells in cancer (5 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (4 papers), Cancer-related Molecular Pathways (4 papers), Chronic Myeloid Leukemia Treatments (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Anesthesia and Neurotoxicity Research (2 papers) and Neonatal Respiratory Health Research (2 papers). The work is most often cited by research in Virology (125 citations), Pharmacology (119 citations) and Immunology (241 citations). Xiaoming Zou has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Kathryn Calame, Andrew J. Henderson, Sergei Rudchenko, George Kwok Chu Wong, Shifeng Yang, Hao Yang, Zhen Ma, Nana Li, Min Wong and Philip Tagari. Their work appears in journals such as Genes & Development, PLoS ONE and Molecular and Cellular Biology.

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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