Cong Yan

78 papers receiving 4k citations

Cong Yan's Hit Papers

Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages 2014 · 1k citations
1k0+4+8Years since publication2505007501k

Peers

Cong Yan
Comparison fields: 5 of 91
  • Immunology 1.4k
  • Cancer Research 374
  • Biochemistry 165
  • Oncology 471
  • Pulmonary and Respiratory Medicine 603
Replace Adam Steven Asch with:
Adam Steven Asch United States
Giusy Di Conza Italy
Ivo Cornelissen United States
H Nagura Japan
Dan Yang United States
Luika Timmerman United States
Michel Le Hir Switzerland
Takehiko Kamijo Japan
Sarah E. Bettigole United States
Cong Yan relative to Adam Steven Asch United States Adam Steven Asch's profile →
Citations per field
00.5×2×3×4.2×
Adam Steven Asch · 1×
Citations per year

Countries citing papers authored by Cong Yan

Since Specialization
Citations

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

Fields of papers citing papers by Cong Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cell-intrinsic lysosomal lipolysis is essential for alternative activation of macrophages
Hit paper breakdown →
20141011
2 2016335
3 1990136
4 2007125
5 1995118
6 201188
7 200982
8 200477
9 201177
10 199770
11 200870
12 201170
13 199064
14 200664
15 200562
16 199761
17 201461
18 200259
19 201759
20 200557

About Cong Yan

Cong Yan is a scholar working on Immunology, Pulmonary and Respiratory Medicine, Molecular Biology, Biochemistry and Physiology, having authored 79 papers that have together received 4.1k indexed citations. Recurring topics across this work include Immune cells in cancer (26 papers), Neonatal Respiratory Health Research (17 papers), Lysosomal Storage Disorders Research (12 papers), Cytokine Signaling Pathways and Interactions (8 papers), Lipid metabolism and biosynthesis (7 papers), Genomics and Chromatin Dynamics (7 papers), Sphingolipid Metabolism and Signaling (6 papers) and interferon and immune responses (6 papers). The work is most often cited by research in Immunology (1.4k citations), Cancer Research (374 citations), Biochemistry (165 citations), Oncology (471 citations) and Pulmonary and Respiratory Medicine (603 citations). Cong Yan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Hong Du, Peng Qu, Jeffrey A. Whitsett, Lingyan Wu, Yulia Ivanova, Stanley Ching‐Cheng Huang, Amber M. Smith, Edward J. Pearce, David O’Sullivan and Erika L. Pearce. Their work appears in journals such as Journal of Biological Chemistry, American Journal Of Pathology, American Journal of Physiology-Lung Cellular and Molecular Physiology, The Journal of Immunology and PLoS ONE.

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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