Xinjun Lei

27 papers receiving 369 citations

Peers

Xinjun Lei
Comparison fields: 5 of 68
  • Genetics 92
  • Cardiology and Cardiovascular Medicine 69
  • Immunology 61
  • Oncology 74
  • Cancer Research 40
Replace Anja Buchheiser with:
Anja Buchheiser Germany
Zengrong Yuan United States
Reetu D. Singla United States
Indira Chivukula Sweden
Konstantina‐Ioanna Sereti United States
Amanda Finan United States
Carine Strup-Perrot France
Geun Ok Jeong South Korea
Dana Čížková Czechia
Aislinn Hays United States
Xinjun Lei relative to Anja Buchheiser Germany Anja Buchheiser's profile →
Citations per field
00.5×6.2×
Anja Buchheiser · 1×
Citations per year

Countries citing papers authored by Xinjun Lei

Since Specialization
Citations

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

Fields of papers citing papers by Xinjun Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xinjun Lei, 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 Xinjun Lei Line = papers co-authored together Xinjun Lei 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 200670
2 200653
3 200942
4 202229
5 202219
6 202219
7 201419
8 201311
9 202211
10 201511
11 201610
12 20229
13 20218
14
Inhibitory effects of blocking voltage-dependent potassium channel 1.3 on human monocyte-derived macrophage differentiation into foam cells.
20068
15 20228
16 20247
17 20236
18
[Inhibition of human macrophage-derived foam cell differentiation by blocking Kv1.3 and Kir2.1 channels].
20066
19
Expression of Kir2.1 channel during differentiation of human macrophages into foam cells.
20055
20 20205

About Xinjun Lei

Xinjun Lei is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Surgery, Oncology and Immunology, having authored 29 papers that have together received 376 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Ferroptosis and cancer prognosis (4 papers), Cancer-related molecular mechanisms research (4 papers), Cardiac Imaging and Diagnostics (4 papers), Immune Cell Function and Interaction (3 papers), Coronary Interventions and Diagnostics (3 papers), Acute Myocardial Infarction Research (3 papers) and Mesenchymal stem cell research (2 papers). The work is most often cited by research in Genetics (92 citations), Cardiology and Cardiovascular Medicine (69 citations), Immunology (61 citations), Oncology (74 citations) and Cancer Research (40 citations). Xinjun Lei has collaborated with scholars based in China, Taiwan and Bangladesh. Frequent co-authors include Yuan Du, Aiqun Ma, Tingzhong Wang, Yanmin Zhang, Wenjie Song, Xin Huang, Tianchen Zhang, Anping Dong, Jun Wang and Wenhui Jiang. Their work appears in journals such as Frontiers in Cardiovascular Medicine, Frontiers in Immunology, Current Problems in Cardiology, Neurotherapeutics and Aging.

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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