Junyu He

594 citations
29 papers · 433 · h-index 13

Impact in

  • Physiology top 10%
    • Calcium signaling and nucleotide metabolism
    • Adenosine and Purinergic Signaling
  • Pharmacology top 10%
    • Pharmacogenetics and Drug Metabolism

Papers in

Junyu He

26 papers receiving 426 citations

Peers

Junyu He
Comparison fields: 5 of 79
  • Physiology 49
  • Pharmacology 66
  • Cancer Research 80
  • Immunology 92
  • Oncology 118
Replace Kaitlin D. Werle with:
Kaitlin D. Werle United States
Makoto Isono Japan
J. Peter McPherson Canada
Wen-Chi Feng Taiwan
David Schlütermann Germany
Niklas Berleth Germany
Dominique Fokan Belgium
Shaomin Shi China
Olaf Witt Germany
Felix Kartnig Austria
Junyu He relative to Kaitlin D. Werle United States Kaitlin D. Werle's profile →
Citations per field
00.5×1.5×2.2×
Kaitlin D. Werle · 1×
Citations per year

Countries citing papers authored by Junyu He

Since Specialization
Citations

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

Fields of papers citing papers by Junyu He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Junyu He, 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 Junyu He Line = papers co-authored together Junyu He 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 199195
2 201733
3 201432
4 201828
5 201326
6 201825
7 201624
8 201523
9 201321
10 201621
11 201718
12 202016
13 201514
14 202110
15 20249
16 20238
17 20205
18 20204
19 20254
20 20244

About Junyu He

Junyu He is a scholar working on Molecular Biology, Cancer Research, Electrical and Electronic Engineering, Oncology and Physiology, having authored 29 papers that have together received 433 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (6 papers), Calcium signaling and nucleotide metabolism (4 papers), Cancer, Hypoxia, and Metabolism (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Solid-state spectroscopy and crystallography (3 papers), Ubiquitin and proteasome pathways (3 papers), RNA Research and Splicing (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Physiology (49 citations), Pharmacology (66 citations), Cancer Research (80 citations), Immunology (92 citations) and Oncology (118 citations). Junyu He has collaborated with scholars based in China, Saudi Arabia and Taiwan. Frequent co-authors include Armand J. Fulco, Shan Liao, Guiyuan Li, Haowen Zhu, Yanhong Zhou, Zhen Pei, Gengqiu Luo, Guofeng Xu, Songshu Xiao and Shudi Luo. Their work appears in journals such as Molecular Carcinogenesis, International Journal of Oncology, Cell Stress and Chaperones, Advanced Functional Materials and Oncology Reports.

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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