Hu Nie

25 papers receiving 291 citations

Peers

Hu Nie
Comparison fields: 5 of 72
  • Emergency Medical Services 37
  • Emergency Medicine 48
  • Immunology 66
  • Biotechnology 24
  • Cardiology and Cardiovascular Medicine 30
Replace Silvia Peveri with:
Silvia Peveri Italy
Xiaohong Du China
Elizabeth Held United States
Martine Robberechts Belgium
Ziyuan He United States
Kirsten Gehlhar Germany
Astrid Radakovics Austria
Beheroze Sattha Canada
Yufei Mo Hong Kong
Lingling Yuan China
Hu Nie relative to Silvia Peveri Italy Silvia Peveri's profile →
Citations per field
00.5×2×4×6×8×9.6×
Silvia Peveri · 1×
Citations per year

Countries citing papers authored by Hu Nie

Since Specialization
Citations

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

Fields of papers citing papers by Hu Nie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199867
2 199648
3 201038
4 202121
5 201820
6 201616
7 201412
8 20108
9 20158
10 20198
11 20208
12 20238
13 20197
14 20217
15 20236
16 20135
17
[Effects of Fluoxetine on Nogo Expression and Collagen Production with Decrease of Pulmonary Artery Pressure in Rats with Right Ventricular Failure.]
20164
18 20214
19 20212
20 20242

About Hu Nie

Hu Nie is a scholar working on Emergency Medicine, Emergency Medical Services, Neurology, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 305 indexed citations. Recurring topics across this work include Disaster Response and Management (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (3 papers), Cardiac Arrest and Resuscitation (2 papers), Viral gastroenteritis research and epidemiology (1 paper), COVID-19 epidemiological studies (1 paper), Cardiovascular Function and Risk Factors (1 paper), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper) and Transgenic Plants and Applications (1 paper). The work is most often cited by research in Emergency Medical Services (37 citations), Emergency Medicine (48 citations), Immunology (66 citations), Biotechnology (24 citations) and Cardiology and Cardiovascular Medicine (30 citations). Hu Nie has collaborated with scholars based in China and United States. Frequent co-authors include Robert H. Silverman, Jayashree M. Paranjape, Aimin Zhou, Debomita Sengupta, Amitava Mitra, Willem G. Langenberg, Yu Cao, Wayne Bond Lau, Theodore A. Christopher and Yu Cao. Their work appears in journals such as Clinical Toxicology, Journal of genetics and genomics, International Journal of Medical Informatics, BMC Infectious Diseases and Clinical Chemistry and Laboratory Medicine (CCLM).

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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