Juan Deng

3.3k total citations
145 papers, 2.2k citations indexed

About

Juan Deng is a scholar working on Molecular Biology, Physiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Juan Deng has authored 145 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 27 papers in Physiology and 25 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Juan Deng's work include Alzheimer's disease research and treatments (21 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Dementia and Cognitive Impairment Research (10 papers). Juan Deng is often cited by papers focused on Alzheimer's disease research and treatments (21 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Dementia and Cognitive Impairment Research (10 papers). Juan Deng collaborates with scholars based in China, United States and Canada. Juan Deng's co-authors include Yan‐Jiang Wang, Huadong Zhou, Chang‐Yue Gao, Brian Giunta, David H.D. Zhou, Huayan Hou, Demian Obregon, Jun Tan, Yayi He and Caicun Zhou and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Juan Deng

130 papers receiving 2.2k citations

Peers

Juan Deng
Comparison fields: 5 of 129
  • Physiology 571
  • Molecular Biology 570
  • Pulmonary and Respiratory Medicine 352
  • Epidemiology 338
  • Oncology 277
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Citations per field, relative to Juan Deng
Juan Deng · 1×
Citations per year, relative to Juan Deng
Juan Deng · 1×

Countries citing papers authored by Juan Deng

Since Specialization
Citations

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

Fields of papers citing papers by Juan Deng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Deng

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Deng. A scholar is included among the top collaborators of Juan Deng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juan Deng. Juan Deng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 3
4 5
5 3
6 1
7 3
8 1
9 3
10 8
11 31
12 56
13 16
14
OX40 (CD134) and OX40 ligand, important immune checkpoints in cancer
4
15
Major histocompatibility complex class II molecule in non-small cell lung cancer diagnosis, prognosis and treatment
1
16 36
17 34
18 0
19
Research Status and Prospects of Magnesium Alloys Welding Technology
2
20
Construction of Replicon Expression Vector Derived from XJ-160 Virus
4

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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