Pan Ji

2.0k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

Pan Ji is a scholar working on Neurology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Pan Ji has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Neurology, 9 papers in Infectious Diseases and 6 papers in Molecular Biology. Recurrent topics in Pan Ji's work include COVID-19 Clinical Research Studies (9 papers), Long-Term Effects of COVID-19 (8 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Pan Ji is often cited by papers focused on COVID-19 Clinical Research Studies (9 papers), Long-Term Effects of COVID-19 (8 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Pan Ji collaborates with scholars based in China, United States and Switzerland. Pan Ji's co-authors include Jianfeng Zhang, Hongyuan Li, Zhimei Zhong, Jieyun Zhu, Jielong Pang, Chunling Zhao, Bocheng Li, Cuiying He, Jihua Feng and Xiaowen Zheng and has published in prestigious journals such as Scientific Reports, Medicine and Neuroscience Letters.

In The Last Decade

Pan Ji

23 papers receiving 1.2k citations

Hit Papers

Clinical characteristics of 3062 COVID‐19 patients: A met... 2020 2026 2022 2024 2020 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Clinical characteristics of 3062 COVID‐19 patients: A meta‐analysis
    2020 432 citations Jieyun Zhu, Pan Ji et al. Journal of Medical Virology profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pan Ji China 16 648 451 183 156 145 24 1.2k
Wei Fang China 13 607 0.9× 401 0.9× 181 1.0× 130 0.8× 122 0.8× 46 1.3k
Jieyun Zhu China 10 640 1.0× 409 0.9× 169 0.9× 110 0.7× 112 0.8× 13 996
Jielong Pang China 10 639 1.0× 410 0.9× 169 0.9× 102 0.7× 101 0.7× 13 987
Giovanni B. Forleo Italy 27 622 1.0× 528 1.2× 123 0.7× 136 0.9× 149 1.0× 144 2.7k
Sneha S. Jain United States 10 1.1k 1.7× 652 1.4× 337 1.8× 118 0.8× 119 0.8× 42 1.8k
Maria Ludovica Carerj Italy 9 898 1.4× 761 1.7× 151 0.8× 124 0.8× 87 0.6× 26 1.7k
Mei Ding China 8 876 1.4× 419 0.9× 219 1.2× 172 1.1× 171 1.2× 11 1.5k
Benjamin Gallo Marin United States 9 556 0.9× 390 0.9× 166 0.9× 80 0.5× 94 0.6× 25 1.0k
Maria Helena Santos de Oliveira Brazil 11 1.4k 2.1× 719 1.6× 306 1.7× 125 0.8× 281 1.9× 29 1.8k
Eleni Korompoki Greece 21 858 1.3× 538 1.2× 121 0.7× 261 1.7× 462 3.2× 71 1.8k

Countries citing papers authored by Pan Ji

Since Specialization
Citations

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

Fields of papers citing papers by Pan Ji

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Ji

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Ji. A scholar is included among the top collaborators of Pan 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 Pan Ji. Pan 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
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2.
Chen, Wei, Jihua Feng, Pan Ji, et al.. (2023). Association of hyperhomocysteinemia and chronic kidney disease in the general population: a systematic review and meta-analysis. BMC Nephrology. 24(1). 247–247. 16 indexed citations
3.
Liu, Yani, Jihua Feng, Pan Ji, et al.. (2023). Association between gout and the risk of osteoporosis and fractures: a meta-analysis. Zeitschrift für Rheumatologie. 83(S1). 191–199. 2 indexed citations
4.
Yang, Ruiqi, et al.. (2023). Liver injury associated with the severity of COVID-19: A meta-analysis. Frontiers in Public Health. 11. 1003352–1003352. 10 indexed citations
5.
Ji, Pan, et al.. (2022). Serum uric acid levels and diabetic kidney disease in patients with type 2 diabetes mellitus: A dose-response meta-analysis. Primary care diabetes. 16(3). 457–465. 19 indexed citations
6.
Xia, Qiuyuan, Qiu Rao, Yang Shao, et al.. (2021). Clinicopathological and molecular genomic features of monomorphic epitheliotropic intestinal T-cell lymphoma in the Chinese population: a study of 20 cases. Diagnostic Pathology. 16(1). 114–114. 9 indexed citations
7.
Feng, Jihua, Yu Qiao, Han Qin, et al.. (2021). Screening of Key Genes of Sepsis and Septic Shock Using Bioinformatics Analysis. Journal of Inflammation Research. Volume 14. 829–841. 26 indexed citations
8.
Feng, Jihua, Jielong Pang, Dan He, et al.. (2021). Identification of Genes with Altered Methylation and Its Role in Early Diagnosis of Sepsis-Induced Acute Respiratory Distress Syndrome. International Journal of General Medicine. Volume 14. 243–253. 11 indexed citations
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Ji, Pan, Jieyun Zhu, Zhimei Zhong, et al.. (2020). Association of elevated inflammatory markers and severe COVID-19. Medicine. 99(47). e23315–e23315. 116 indexed citations
12.
Zhu, Jieyun, Pan Ji, Jielong Pang, et al.. (2020). Clinical characteristics of 3062 COVID‐19 patients: A meta‐analysis. Journal of Medical Virology. 92(10). 1902–1914. 432 indexed citations breakdown →
13.
Zhu, Jieyun, Zhimei Zhong, Pan Ji, et al.. (2020). Clinicopathological characteristics of 8697 patients with COVID-19 in China: a meta-analysis. Family Medicine and Community Health. 8(2). e000406–e000406. 94 indexed citations
14.
Zhu, Jieyun, Pan Ji, Hongyuan Li, et al.. (2020). Risk factors of severe cases with COVID-19: a meta-analysis. Epidemiology and Infection. 148. e175–e175. 92 indexed citations
15.
Lu, Junyu, Qian Li, Zhimei Zhong, et al.. (2020). Two gene set variation indexes as potential diagnostic tool for sepsis.. PubMed. 12(6). 2749–2759. 25 indexed citations
16.
Zhang, Yuli, et al.. (2020). An Investigation of the Mechanism of Rapid Relief of Ulcerative Colitis Induced by Five-flavor Sophora Flavescens Enteric-coated Capsules Based on Network Pharmacology. Combinatorial Chemistry & High Throughput Screening. 23(3). 239–252. 14 indexed citations
17.
Zhu, Jieyun, Jielong Pang, Pan Ji, et al.. (2020). Coagulation dysfunction is associated with severity of COVID‐19: A meta‐analysis. Journal of Medical Virology. 93(2). 962–972. 28 indexed citations
18.
Zhu, Jieyun, Zhimei Zhong, Hongyuan Li, et al.. (2020). CT imaging features of 4121 patients with COVID‐19: A meta‐analysis. Journal of Medical Virology. 92(7). 891–902. 80 indexed citations
19.
Zhang, Hui, Lin Zhu, Li Sun, et al.. (2018). Phosphorylated α-synuclein deposits in sural nerve deriving from Schwann cells: A biomarker for Parkinson's disease. Parkinsonism & Related Disorders. 60. 57–63. 27 indexed citations
20.

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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