Shi Di

21 papers receiving 1.8k citations

Shi Di's Hit Papers

Nongenomic Glucocorticoid Inhibition via Endocannabinoid Release in the Hypothalamus: A Fast Feedback Mechanism 2003 · 625 citations
6250+7+15Years since publication200400600

Peers

Shi Di
Comparison fields: 5 of 92
  • Behavioral Neuroscience 713
  • Endocrine and Autonomic Systems 525
  • Biological Psychiatry 128
  • Pharmacology 553
  • Cellular and Molecular Neuroscience 545
Replace Renato Malcher‐Lopes with:
Renato Malcher‐Lopes Brazil
Katalin Cs. Halmos United States
Rob Binnekade Netherlands
Erik Hrabovszky Hungary
Tamás Füzesi United States
Shannon G. Matta United States
Florian Holsboer Germany
S.J. Watson United States
F. Moos France
M. Victoria Milanés Spain
Shi Di relative to Renato Malcher‐Lopes Brazil Renato Malcher‐Lopes's profile →
Citations per field
00.5×1.5×
Renato Malcher‐Lopes · 1×
Citations per year

Countries citing papers authored by Shi Di

Since Specialization
Citations

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

Fields of papers citing papers by Shi Di

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Nongenomic Glucocorticoid Inhibition via Endocannabinoid Release in the Hypothalamus: A Fast Feedback Mechanism
Hit paper breakdown →
2003625
2 2006285
3 2005232
4 2009165
5 200594
6 200470
7 201665
8 201157
9 201338
10 201438
11 200237
12 198935
13 201023
14 201920
15 200417
16 201711
17 19909
18 20198
19 19925
20 20083

About Shi Di

Shi Di is a scholar working on Cellular and Molecular Neuroscience, Social Psychology, Endocrine and Autonomic Systems, Cognitive Neuroscience and Pharmacology, having authored 22 papers that have together received 1.8k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (10 papers), Neuroscience and Neuropharmacology Research (9 papers), Regulation of Appetite and Obesity (5 papers), Cannabis and Cannabinoid Research (5 papers), Sleep and Wakefulness Research (5 papers), Neural dynamics and brain function (4 papers), Neuroscience of respiration and sleep (4 papers) and Stress Responses and Cortisol (3 papers). The work is most often cited by research in Behavioral Neuroscience (713 citations), Endocrine and Autonomic Systems (525 citations), Biological Psychiatry (128 citations), Pharmacology (553 citations) and Cellular and Molecular Neuroscience (545 citations). Shi Di has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Jeffrey G. Tasker, Renato Malcher‐Lopes, Katalin Cs. Halmos, Victor L. Marcheselli, Nicolás G. Bazán, Alier J. Franco, Marc M. Maxson, Chérif Boudaba, Daniel S. Barth and Christina Harris. Their work appears in journals such as Endocrinology, Journal of Neuroscience, Brain Research, The Journal of Physiology and eNeuro.

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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