Jingna Wei

1.1k citations
41 papers · 938 · h-index 18

Impact in

Papers in

Jingna Wei

38 papers receiving 927 citations

Peers

Jingna Wei
Comparison fields: 5 of 111
  • Neurology 122
  • Developmental Neuroscience 39
  • Physiology 34
  • Radiology, Nuclear Medicine and Imaging 164
  • Clinical Biochemistry 48
Replace Kazunori Sato with:
Kazunori Sato Japan
Kun Liu China
Xin Tang China
Kun Liu China
Limin Wu China
Ferda Filiz United States
Sina Tavakoli United States
Jérôme Robert Canada
M. N. Hart United States
Jingna Wei relative to Kazunori Sato Japan Kazunori Sato's profile →
Citations per field
00.5×1.5×2.3×
Kazunori Sato · 1×
Citations per year

Countries citing papers authored by Jingna Wei

Since Specialization
Citations

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

Fields of papers citing papers by Jingna Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000103
2 199796
3 201274
4 201970
5 200356
6 199953
7 199549
8 199849
9 199739
10 197839
11 199637
12 200332
13 201320
14 200320
15 201119
16 200319
17 201918
18 201318
19 199914
20 200213

About Jingna Wei

Jingna Wei is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Epidemiology, Microbiology and Surgery, having authored 41 papers that have together received 938 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (15 papers), Cervical Cancer and HPV Research (5 papers), Reproductive tract infections research (5 papers), Advanced Neuroimaging Techniques and Applications (4 papers), Anesthesia and Neurotoxicity Research (3 papers), MRI in cancer diagnosis (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Acute Ischemic Stroke Management (3 papers). The work is most often cited by research in Neurology (122 citations), Developmental Neuroscience (39 citations), Physiology (34 citations), Radiology, Nuclear Medicine and Imaging (164 citations) and Clinical Biochemistry (48 citations). Jingna Wei has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Michael J. Quast, Neng Huang, Stephen K. Tyring, Reuben Matalon, Sankar Surendran, Ed L. Ezell, Thomas A. Kent, Peter L. Rady, Hans‐Gert Bernstein and Gerald A. Campbell. Their work appears in journals such as Brain Research, American Journal of Obstetrics and Gynecology, Journal of Cerebral Blood Flow & Metabolism, Histochemistry and Cell Biology and The Journal of Gene Medicine.

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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