Te−I Weng

64 papers receiving 1.1k citations

Peers

Te−I Weng
Comparison fields: 5 of 119
  • Toxicology 88
  • Rehabilitation 68
  • Pharmacology 92
  • Critical Care and Intensive Care Medicine 42
  • Emergency Medicine 73
Replace Ebrahim Salehifar with:
Ebrahim Salehifar Iran
Krithika Lingappan United States
Osman Evliyaoğlu Türkiye
Tülay Köken Türkiye
W. J. Tilstone United Kingdom
Ahuva Golik Israel
Mai Asano Japan
G N Volans United Kingdom
T. J. Meredith United Kingdom
Thomas J. Preston United States
Te−I Weng relative to Ebrahim Salehifar Iran Ebrahim Salehifar's profile →
Citations per field
00.5×4.9×
Ebrahim Salehifar · 1×
Citations per year

Countries citing papers authored by Te−I Weng

Since Specialization
Citations

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

Fields of papers citing papers by Te−I Weng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te−I Weng. 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 Te−I Weng. The network helps show where Te−I Weng may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201786
2 200867
3 201257
4 201156
5
Association of psychological distress with psychological factors in rescue workers within two months after a major earthquake.
200254
6 201751
7 200541
8 201039
9 201335
10 201934
11 200434
12 200433
13 201232
14 201729
15 201827
16 200527
17 200426
18 201226
19 201124
20 201223

About Te−I Weng

Te−I Weng is a scholar working on Molecular Biology, Toxicology, Pharmacology, Emergency Medicine and Surgery, having authored 67 papers that have together received 1.1k indexed citations. Recurring topics across this work include Forensic Toxicology and Drug Analysis (13 papers), Metabolomics and Mass Spectrometry Studies (5 papers), Poisoning and overdose treatments (5 papers), Magnolia and Illicium research (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Marine Biology and Environmental Chemistry (3 papers), Mass Spectrometry Techniques and Applications (3 papers) and Osteoarthritis Treatment and Mechanisms (2 papers). The work is most often cited by research in Toxicology (88 citations), Rehabilitation (68 citations), Pharmacology (92 citations), Critical Care and Intensive Care Medicine (42 citations) and Emergency Medicine (73 citations). Te−I Weng has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shing‐Hwa Liu, Cheng‐Chung Fang, Wen‐Jone Chen, Chih‐Kang Chiang, Wei‐Tien Chang, Kuo‐Cheng Lan, Ching‐Chia Wang, Keh‐Sung Tsai, Meei‐Ling Sheu and Rong‐Sen Yang. Their work appears in journals such as Resuscitation, The American Journal of Emergency Medicine, Archives of Toxicology, Clinical Toxicology and Toxicological Sciences.

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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