Jiadi Wen

413 citations
22 papers · 264 indexed · h-index 9
Topics
Prenatal Screening and Diagnostics (12 papers)Genomic variations and chromosomal abnormalities (12 papers)Genetic Syndromes and Imprinting (4 papers)
Partner nations
United StatesCanadaChina

In The Last Decade

Jiadi Wen

22 papers receiving 259 citations

Peers

Jiadi Wen
Comparison fields: 5 of 54
  • Pediatrics, Perinatology and Child Health 125
  • Genetics 124
  • Molecular Biology 84
  • Immunology 57
  • Public Health, Environmental and Occupational Health 42
Replace Feodora Stipoljev with:
Feodora Stipoljev Croatia
Ioannis Papoulidis Greece
Masood Bazrgar Iran
Tomasz Roszkowski Poland
Maribel Forero‐Castro Colombia
Catherine Deveault Canada
Katherine L. Palmerola United States
Brenda Lomax Canada
Yusuf Tunca Türkiye
Laura Kasak Estonia
Jiadi Wen relative to Feodora Stipoljev Croatia Feodora Stipoljev's profile →
Citations per field
00.5×6.5×
Feodora Stipoljev · 1×
Citations per year

Countries citing papers authored by Jiadi Wen

Since Specialization
Citations

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

Fields of papers citing papers by Jiadi Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiadi Wen

This figure shows the co-authorship network connecting the top 25 collaborators of Jiadi Wen. A scholar is included among the top collaborators of Jiadi Wen based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jiadi Wen. Jiadi Wen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 7
3 5
4 1
5 2
6 33
7 7
8 12
9 12
10 7
11 3
12 1
13 69
14 23
15 1
16 15
17 8
18 21
19 1
20 17

About Jiadi Wen

Jiadi Wen is a scholar working on Genetics, Pediatrics, Perinatology and Child Health and Genetics, having authored 22 papers that have together received 264 indexed citations. Recurring topics across this work include Prenatal Screening and Diagnostics (12 papers), Genomic variations and chromosomal abnormalities (12 papers) and Genetic Syndromes and Imprinting (4 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (125 citations), Obstetrics and Gynecology (36 citations) and Genetics (124 citations). Jiadi Wen has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Peter C. K. Leung, Evica Rajcan‐Separovic, Sally Martell, Mary D. Stephenson, Ying Qiao, Peining Li, Hongyan Chai, Hua Zhu, M. E. Suzanne Lewis and Qinghua Zhou. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Biology of Reproduction.

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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