Ji‐Qing Wei

1.5k citations
18 papers · 1.1k · h-index 13

Impact in

Papers in

Ji‐Qing Wei

18 papers receiving 1.1k citations

Peers

Ji‐Qing Wei
Comparison fields: 5 of 64
  • Endocrinology, Diabetes and Metabolism 687
  • Urology 132
  • Clinical Biochemistry 139
  • Pediatrics, Perinatology and Child Health 203
  • Behavioral Neuroscience 36
Replace Paola Sartorato with:
Paola Sartorato Italy
Ludwig Kornel United States
Inger Holmberg Sweden
Yue-Hua Huang United States
Gail Galasko United States
G. R. Cannell Australia
I.J. Drekter United States
Mark Struve United States
Zhengbo Duanmu United States
Z. Zaman Belgium
Ji‐Qing Wei relative to Paola Sartorato Italy Paola Sartorato's profile →
Citations per field
00.5×10×15×20.3×
Paola Sartorato · 1×
Citations per year

Countries citing papers authored by Ji‐Qing Wei

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Qing Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 1995163
2 2001145
3 1998138
4 1995138
5 1995119
6 1998113
7 1995113
8 200337
9 200636
10 199927
11 200318
12 198717
13 199213
14 200510
15 20109
16 19919
17 19908
18 19907

About Ji‐Qing Wei

Ji‐Qing Wei is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Urology, Clinical Biochemistry and Genetics, having authored 18 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sexual Differentiation and Disorders (10 papers), Hormonal Regulation and Hypertension (5 papers), Metabolism and Genetic Disorders (4 papers), Urological Disorders and Treatments (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Hormonal and reproductive studies (3 papers), Adrenal Hormones and Disorders (3 papers) and Analytical Chemistry and Chromatography (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (687 citations), Urology (132 citations), Clinical Biochemistry (139 citations), Pediatrics, Perinatology and Child Health (203 citations) and Behavioral Neuroscience (36 citations). Ji‐Qing Wei has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Maria I. New, Robert C. Wilson, Arlene Mercado, John W. Funder, Madeleine D. Harbison, Zygmunt S. Krozowski, C.H.L. Shackleton, Robert C. Wilson, Varuni Obeyesekere and Richard E. Neiberger. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biomedical Chromatography, Clinical Chemistry, American Journal of Botany and Proceedings of the National Academy of 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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