Weizhen Ji

6.2k citations
47 papers · 3.3k indexed · 3 hit papers · h-index 14

Weizhen Ji

41 papers receiving 3.2k citations

Hit Papers

K + Channel Mutations in Adrenal Aldosterone-Producing Ad...6792008202620142020250500750

Peers

Weizhen Ji
Comparison fields: 5 of 120
  • Endocrinology, Diabetes and Metabolism 702
  • Genetics 1.1k
  • Molecular Biology 1.9k
  • Cancer Research 301
  • Pathology and Forensic Medicine 235
Replace Anita Farhi with:
Anita Farhi United States
Kenneth A. Platt United States
Ute I. Scholl Germany
Toyoshi Endo Japan
Jasmine Parma Belgium
Taroh Iiri Japan
Aimee D. Kohn United States
Hsiang–Po Huang Taiwan
Marcelina Párrizas Spain
Peter A. Cattini Canada
Weizhen Ji relative to Anita Farhi United States Anita Farhi's profile →
Citations per field
00.5×1.5×2.2×
Anita Farhi · 1×
Citations per year

Countries citing papers authored by Weizhen Ji

Since Specialization
Citations

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

Fields of papers citing papers by Weizhen Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20234
2 20230
3 20231
4 20223
5 202141
6 202028
7 20208
8 202021
9 20197
10 20199
11 201911
12 20184
13 20184
14
K + Channel Mutations in Adrenal Aldosterone-Producing Adenomas and Hereditary Hypertensionbreakdown →
2011679
15
Genetic diagnosis by whole exome capture and massively parallel DNA sequencingbreakdown →
2009885
16
The New Progress of the Principle of Prevention and Treatment in Agricultural Non-point Source Pollution
20080
17 2003300
18 20019
19 1998195
20
Frequent detection of bcl-2/JH translocations in human blood and organ samples by a quantitative polymerase chain reaction assay.
199572

About Weizhen Ji

Weizhen Ji is a scholar working on Genetics, Genetics and Molecular Biology, having authored 47 papers that have together received 3.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (9 papers), Genetics and Neurodevelopmental Disorders (6 papers), RNA Research and Splicing (6 papers), Congenital heart defects research (5 papers), RNA and protein synthesis mechanisms (5 papers), Renal and related cancers (5 papers), Neurogenetic and Muscular Disorders Research (5 papers) and Genomics and Rare Diseases (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (702 citations), Genetics (1.1k citations) and Molecular Biology (1.9k citations). Weizhen Ji has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Richard P. Lifton, Murim Choi, Carol Nelson‐Williams, Ute I. Scholl, Shrikant Mane, Irina R. Tikhonova, Sami A. Sanjad, Melanie Ehrlich, Paul Zumbo and Anita Farhi. Their work appears in journals such as Nature, Science 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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2026