Jianling Ji

1.8k total citations
39 papers, 378 citations indexed

About

Jianling Ji is a scholar working on Genetics, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Jianling Ji has authored 39 papers receiving a total of 378 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 11 papers in Molecular Biology and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Jianling Ji's work include Cancer Genomics and Diagnostics (9 papers), Glioma Diagnosis and Treatment (8 papers) and Genomic variations and chromosomal abnormalities (8 papers). Jianling Ji is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Glioma Diagnosis and Treatment (8 papers) and Genomic variations and chromosomal abnormalities (8 papers). Jianling Ji collaborates with scholars based in United States, China and Canada. Jianling Ji's co-authors include Gordana Raca, Yujie Wang, Jaclyn A. Biegel, Dan Zhang, Lele Huang, Marco L. Leung, Avni Santani, Deepa Bhojwani, Samuel W. Baker and Matthew J. Oberley and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and International Journal of Molecular Sciences.

In The Last Decade

Jianling Ji

35 papers receiving 376 citations

Peers

Jianling Ji
Jane Chalker United Kingdom
Johan de Rooi Netherlands
Umut Aypar United States
Saleh Al-Mesfer Saudi Arabia
Tanzina Chowdhury United Kingdom
Dhruve S. Jeevan United States
David Bourn United Kingdom
Aman Chandra United Kingdom
Julie Fleitz United States
Manoj Parulekar United Kingdom
Jane Chalker United Kingdom
Jianling Ji
Citations per year, relative to Jianling Ji Jianling Ji (= 1×) peers Jane Chalker

Countries citing papers authored by Jianling Ji

Since Specialization
Citations

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

Fields of papers citing papers by Jianling Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jianling Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Jianling Ji. A scholar is included among the top collaborators of Jianling Ji 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 Jianling Ji. Jianling Ji 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
1.
Hahn, Elan, Avinash V. Dharmadhikari, Simran Maggo, et al.. (2025). Copy number variant analysis improves diagnostic yield in a diverse pediatric exome sequencing cohort. npj Genomic Medicine. 10(1). 16–16.
2.
Leung, Marco L., et al.. (2024). Microarray-Based DNA Methylation Profiling. Journal of Molecular Diagnostics. 26(6). 447–455. 6 indexed citations
3.
Greenwald, Joshua A., et al.. (2024). Clinical, pathologic, and genomic characteristics of two pediatric glioneuronal tumors with a CLIP2::MET fusion. Acta Neuropathologica Communications. 12(1). 63–63. 1 indexed citations
4.
Lee, Brian, Li Shen, Dennis T. Maglinte, et al.. (2024). Significance Associated with Phenotype Score Aids in Variant Prioritization for Exome Sequencing Analysis. Journal of Molecular Diagnostics. 26(5). 337–348. 2 indexed citations
5.
Buckley, Jonathan D., Ryan J. Schmidt, Dejerianne Ostrow, et al.. (2023). An Exome Capture-Based RNA-Sequencing Assay for Genome-Wide Identification and Prioritization of Clinically Important Fusions in Pediatric Tumors. Journal of Molecular Diagnostics. 26(2). 127–139. 3 indexed citations
6.
Hu, Zunsong, Alexandra E. Kovach, Venkata D. Yellapantula, et al.. (2023). Transcriptome Sequencing Allows Comprehensive Genomic Characterization of Pediatric B-Acute Lymphoblastic Leukemia in an Academic Clinical Laboratory. Journal of Molecular Diagnostics. 26(1). 49–60. 7 indexed citations
7.
Keens, Thomas G., et al.. (2023). Congenital central hypoventilation syndrome without hypoventilation: is it congenital central hypoventilation syndrome?. Journal of Clinical Sleep Medicine. 19(6). 1161–1164. 1 indexed citations
8.
Yellapantula, Venkata, Jianling Ji, Jesse L. Berry, et al.. (2023). Abstract 3322: Diagnosis and monitoring of pediatric cancer patients using low-pass whole genome and targeted sequencing of cell-free DNA. Cancer Research. 83(7_Supplement). 3322–3322.
9.
SoRelle, Jeffrey A., Birgit Funke, Jianling Ji, et al.. (2023). Slice Testing—Considerations from Ordering to Reporting. Journal of Molecular Diagnostics. 26(3). 159–167. 6 indexed citations
10.
Panjawatanan, Panadeekarn, et al.. (2022). A Novel De Novo Frameshift Pathogenic Variant in the FAM111B Resulting in Progressive Osseous Heteroplasia Phenotype. Calcified Tissue International. 112(4). 518–523.
11.
Leung, Marco L., Jianling Ji, Samuel W. Baker, et al.. (2022). A Framework of Critical Considerations in Clinical Exome Reanalyses by Clinical and Laboratory Standards Institute. Journal of Molecular Diagnostics. 24(2). 177–188. 4 indexed citations
12.
Hiemenz, Matthew, Matthew J. Oberley, Andrew Doan, et al.. (2021). A multimodal genomics approach to diagnostic evaluation of pediatric hematologic malignancies. Cancer Genetics. 254-255. 25–33. 7 indexed citations
13.
Ji, Jianling, Marco L. Leung, Samuel W. Baker, Joshua L. Deignan, & Avni Santani. (2021). Clinical Exome Reanalysis: Current Practice and Beyond. Molecular Diagnosis & Therapy. 25(5). 529–536. 36 indexed citations
14.
Huang, Lele, et al.. (2020). Central retina changes in Parkinson’s disease: a systematic review and meta-analysis. Journal of Neurology. 268(12). 4646–4654. 47 indexed citations
15.
Cotter, Jennifer, Jianling Ji, Wendy G. Mitchell, et al.. (2020). Custom Pediatric Oncology Next-Generation Sequencing Panel Identifies Somatic Mosaicism in Archival Tissue and Enhances Targeted Clinical Care. Pediatric Neurology. 114. 55–59. 1 indexed citations
16.
Ji, Jianling, Li Shen, Moiz Bootwalla, et al.. (2019). A semiautomated whole-exome sequencing workflow leads to increased diagnostic yield and identification of novel candidate variants. Molecular Case Studies. 5(2). a003756–a003756. 36 indexed citations
17.
Sheppard, Sarah E., Emilie Lalonde, N. Scott Adzick, et al.. (2019). Androgenetic chimerism as an etiology for Beckwith–Wiedemann syndrome: diagnosis and management. Genetics in Medicine. 21(11). 2644–2649. 12 indexed citations
18.
Oberley, Matthew J., Paul S. Gaynon, Deepa Bhojwani, et al.. (2018). Myeloid lineage switch following chimeric antigen receptor T‐cell therapy in a patient with TCF3‐ZNF384 fusion‐positive B‐lymphoblastic leukemia. Pediatric Blood & Cancer. 65(9). e27265–e27265. 60 indexed citations
19.
Ji, Jianling, Fariba Navid, Maki Kaneko, et al.. (2018). Embryonal rhabdomyosarcoma in a patient with a germline CBL pathogenic variant. Cancer Genetics. 231-232. 62–66. 7 indexed citations
20.
Ji, Jianling, David M. Parham, Li Shen, et al.. (2017). Inherited germline ATRX mutation in two brothers with ATR‐X syndrome and osteosarcoma. American Journal of Medical Genetics Part A. 173(5). 1390–1395. 23 indexed citations

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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