Tiejun Shi

2.5k citations
49 papers · 2.1k indexed · h-index 25

Impact in

Papers in

Tiejun Shi

47 papers receiving 2.0k citations

Peers

Tiejun Shi
Comparison fields: 5 of 98
  • Cellular and Molecular Neuroscience 1.3k
  • Endocrine and Autonomic Systems 225
  • Physiology 835
  • Developmental Neuroscience 87
  • Behavioral Neuroscience 65
Replace Françoise Mennicken with:
Françoise Mennicken Canada
Li-Yen Mae Huang United States
Xiao‐Ying Hua United States
Michel Pohl France
A. Mauborgne France
Juan Carlos G. Marvizón United States
James D. Pomonis United States
Zhizhong Z. Pan United States
Rita Bardoni Italy
Tiejun Shi relative to Françoise Mennicken Canada Françoise Mennicken's profile →
Citations per field
00.5×1.5×2.4×
Françoise Mennicken · 1×
Citations per year

Countries citing papers authored by Tiejun Shi

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003220
2 1998160
3 2000125
4 2001106
5 2002105
6 199799
7 199598
8 200796
9 199882
10 199880
11 199772
12 199669
13 201260
14 200752
15 199950
16 200649
17 200944
18 200843
19 199840
20 201440

About Tiejun Shi

Tiejun Shi is a scholar working on Cellular and Molecular Neuroscience, Physiology, Developmental Neuroscience, Reproductive Medicine and Surgery, having authored 49 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (25 papers), Pain Mechanisms and Treatments (18 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (8 papers), Receptor Mechanisms and Signaling (7 papers), Nerve injury and regeneration (4 papers), Hypothalamic control of reproductive hormones (3 papers), RNA Interference and Gene Delivery (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.3k citations), Endocrine and Autonomic Systems (225 citations), Physiology (835 citations), Developmental Neuroscience (87 citations) and Behavioral Neuroscience (65 citations). Tiejun Shi has collaborated with scholars based in Sweden, China and Norway. Frequent co-authors include Tomas Hökfelt, Qing Xu, Kristina Holmberg, Tomas H�kfelt, Marc Landry, Xu Zhang, Ursula H. Winzer‐Serhan, Frances M. Leslie, Marcelo J. Villar and Pablo R. Brumovsky. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Pain Research, Molecular Pain, European Journal of Neuroscience and Neuroreport.

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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