Ling Ji

487 total citations
45 papers, 330 citations indexed

About

Ling Ji is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Ling Ji has authored 45 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Genetics, 16 papers in Molecular Biology and 13 papers in Hematology. Recurrent topics in Ling Ji's work include Hemoglobinopathies and Related Disorders (21 papers), Iron Metabolism and Disorders (11 papers) and Diabetes Management and Research (7 papers). Ling Ji is often cited by papers focused on Hemoglobinopathies and Related Disorders (21 papers), Iron Metabolism and Disorders (11 papers) and Diabetes Management and Research (7 papers). Ling Ji collaborates with scholars based in China, Canada and Australia. Ling Ji's co-authors include Dennis E. Vance, René L. Jacobs, Lin-Fu Zhu, Weidong Chen, Yu Zhou, Yong Xia, Weijie Xie, Yajun Wang, Huiping Liu and Hao Wang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Hepatology.

In The Last Decade

Ling Ji

41 papers receiving 329 citations

Peers

Ling Ji

GENET

EDM

EPIDE

HEMAT

Madoka Yoda Japan

Alexandra Willemetz France

Daniel Chiu United States

Antoni Olona United Kingdom

Laura Tronci Italy

Andreas Gerloff Germany

Anne‐Cathrine S. Vogt Switzerland

Nobuhiko Ikari Japan

Ivana Němečková Czechia

Kanako Sakurai Japan

Madoka Yoda Japan

Ling Ji

114 ×1.0

29 ×0.3

GENET

22 ×0.3

EDM

164 ×2.3

EPIDE

50 ×0.8

HEMAT

Citations per year, relative to Ling Ji Ling Ji (= 1×) peers Madoka Yoda

Countries citing papers authored by Ling Ji

Since Specialization

Citations

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

Fields of papers citing papers by Ling Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Ji. A scholar is included among the top collaborators of Ling 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 Ling Ji. Ling Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Lin, Yu‐Feng, et al.. (2025). A cost-effective predictive tool for AFP-negative focal hepatic lesions of retrospective study: enhancing clinical triage and decision-making. PeerJ. 13. e19150–e19150.

Zhang, Qian, Bowen Li, Xin Li, et al.. (2024). Patient-based real-time quality control integrating neural networks and joint probability analysis. Clinica Chimica Acta. 567. 120112–120112.

Wang, Jun, Jinyong Huang, Yunlong Hu, et al.. (2024). Terminal modifications independent cell-free RNA sequencing enables sensitive early cancer detection and classification. Nature Communications. 15(1). 156–156. 11 indexed citations

Lu, Chong, Yong Xia, Chen Sun, et al.. (2024). Panel containing three serum microRNAs: a promising biomarker for early detection of bladder cancer. Frontiers in Oncology. 14. 1470457–1470457.

He, Chen, et al.. (2023). Serum human epididymis protein 4 is associated with disease severity in patients with IgA nephropathy. Clinical Biochemistry. 123. 110701–110701. 2 indexed citations

Ye, Yinghui, et al.. (2023). Identification of Hb Lepore, Hb anti-Lepore, and α-globin gene triplications by long-read single-molecule real-time sequencing. American Journal of Clinical Pathology. 161(4). 411–417. 1 indexed citations

Zhang, Yuting, et al.. (2023). Prognosis stratification of patients with breast invasive carcinoma based on cysteine metabolism-disulfidptosis affinity. Journal of Cancer Research and Clinical Oncology. 149(13). 11979–11994. 2 indexed citations

Li, Mingyang, et al.. (2023). Mutational spectrum of HBD gene in the Chinese population: Description of 36 mutations including 11 novel variants. International Journal of Laboratory Hematology. 45(6). 961–968. 5 indexed citations

Ye, Yinghui, et al.. (2023). Leveraging senescence-oxidative stress co-relation to predict prognosis and drug sensitivity in breast invasive carcinoma. Frontiers in Endocrinology. 14. 1179050–1179050. 1 indexed citations

10.

Wang, Mo, et al.. (2022). Comparability of different methods of glycated hemoglobin measurement for samples of patients with variant and non-variant hemoglobin. Clinica Chimica Acta. 533. 168–174. 4 indexed citations

11.

Chen, Weidong, et al.. (2020). Identification of a new hemoglobin variant Hb Liuzhou [HBA1:C.182A→G] by MALDI-TOF mass spectrometry during HbA_1c measurement. Scandinavian Journal of Clinical and Laboratory Investigation. 80(6). 479–483. 6 indexed citations

12.

Wang, Yajun, et al.. (2019). Evaluation of MALDI-TOF MS for the measurement of glycated hemoglobin. Clinica Chimica Acta. 498. 154–160. 11 indexed citations

13.

Ji, Ling. (2018). Development of measurement technology for glycated hemoglobin. Zhonghua jianyan yixue zazhi. 41(11). 808–811. 1 indexed citations

14.

Chen, Weidong, et al.. (2018). Effects of common hemoglobin variants on HbA1c measurements in China: results for α- and β-globin variants measured by six methods. Clinical Chemistry and Laboratory Medicine (CCLM). 56(8). 1353–1361. 20 indexed citations

15.

Li, Jie, et al.. (2018). Falsely high HbA_1c value due to a novel α1-globin gene mutation: Hb shantou [α127(H10)Lys > Glu; HBA1: c.382 A > G]. Scandinavian Journal of Clinical and Laboratory Investigation. 78(7-8). 621–625. 4 indexed citations

16.

Sun, Jian, et al.. (2018). Hb I: A α‐globin chain variant causing unexpected HbA_1c results. Journal of Clinical Laboratory Analysis. 33(2). e22671–e22671. 5 indexed citations

17.

Zhang, Xinyuan, et al.. (2012). Purification and Structural Characterization of Exopolysaccharide Produced by Streptococcus the rmophilus CH9. Food Science. 33(19). 107–112. 2 indexed citations

18.

Ji, Ling, Jamie Lewis, Donna N. Douglas, Norman M. Kneteman, & Dennis E. Vance. (2012). Characterization of lipid and lipoprotein metabolism in primary human hepatocytes. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1831(2). 387–397. 19 indexed citations

19.

Ji, Ling, et al.. (2011). Hepatic ratio of phosphatidylcholine to phosphatidylethanolamine predicts survival after partial hepatectomy in mice. Hepatology. 55(4). 1094–1102. 81 indexed citations

20.

Ji, Ling, et al.. (2011). Effect of Auxiliary Starters on Quality of the Reduced Fat Mozzarella Cheese. Advanced materials research. 393-395. 678–683. 1 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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