Linna Ge

529 total citations
19 papers, 417 citations indexed

About

Linna Ge is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Hematology. According to data from OpenAlex, Linna Ge has authored 19 papers receiving a total of 417 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 4 papers in Hematology. Recurrent topics in Linna Ge's work include Renal cell carcinoma treatment (3 papers), Platelet Disorders and Treatments (3 papers) and COVID-19 Clinical Research Studies (3 papers). Linna Ge is often cited by papers focused on Renal cell carcinoma treatment (3 papers), Platelet Disorders and Treatments (3 papers) and COVID-19 Clinical Research Studies (3 papers). Linna Ge collaborates with scholars based in United States, China and Japan. Linna Ge's co-authors include Xiangqian Guo, Longxiang Xie, Juan M. Saavedra, Jaroslav Pavel, Miroslava Macova, Jin Zhou, Zu‐Xi Yu, Huan Dong, Jingtao Dou and Hans Imboden and has published in prestigious journals such as The Journal of Immunology, Stroke and Journal of the American Society of Nephrology.

In The Last Decade

Linna Ge

19 papers receiving 413 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Linna Ge United States 13 156 119 68 57 53 19 417
Wenpeng Song China 13 132 0.8× 56 0.5× 66 1.0× 15 0.3× 27 0.5× 43 413
Susanne Mathia Germany 12 174 1.1× 51 0.4× 81 1.2× 25 0.4× 95 1.8× 19 357
Hye-Lim Lee South Korea 12 213 1.4× 73 0.6× 70 1.0× 22 0.4× 58 1.1× 13 475
Hongling Yin China 13 84 0.5× 202 1.7× 41 0.6× 14 0.2× 61 1.2× 28 429
Jim Apostolopoulos Australia 17 283 1.8× 97 0.8× 111 1.6× 50 0.9× 107 2.0× 26 838
Jiali Wu China 12 156 1.0× 49 0.4× 61 0.9× 11 0.2× 9 0.2× 45 416
Yongsheng Gao China 14 220 1.4× 165 1.4× 124 1.8× 16 0.3× 25 0.5× 51 593
Kirsten Rackebrandt Germany 9 162 1.0× 176 1.5× 58 0.9× 319 5.6× 28 0.5× 9 1.1k
Ran Levy Israel 12 235 1.5× 24 0.2× 18 0.3× 45 0.8× 26 0.5× 22 426
Zhen Shan China 12 348 2.2× 105 0.9× 239 3.5× 51 0.9× 9 0.2× 29 608

Countries citing papers authored by Linna Ge

Since Specialization
Citations

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

Fields of papers citing papers by Linna Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linna Ge

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

All Works

19 of 19 papers shown
1.
Felix, Juan C., Yuri Sheinin, David Suster, et al.. (2021). Diffuse interstitial pneumonia-like/macrophage activation syndrome-like changes in patients with COVID-19 correlate with length of illness. Annals of Diagnostic Pathology. 53. 151744–151744. 5 indexed citations
2.
Wang, Pei, Xiaoyu Ma, Yubing Xia, et al.. (2021). Comprehensive analysis of lncRNAs as biomarkers for diagnosis, prognosis, and treatment response in clear cell renal cell carcinoma. Molecular Therapy — Oncolytics. 22. 209–218. 12 indexed citations
3.
Jacobs, Elizabeth R., Yunguang Sun, Juan C. Felix, et al.. (2021). Pneumocytes are distinguished by highly elevated expression of the ER stress biomarker GRP78, a co-receptor for SARS-CoV-2, in COVID-19 autopsies. Cell Stress and Chaperones. 26(5). 859–868. 17 indexed citations
4.
Sun, Yunguang, Linna Ge, Sameer S. Udhane, et al.. (2021). Sensitive and Specific Immunohistochemistry Protocol for Nucleocapsid Protein from All Common SARS-CoV-2 Virus Strains in Formalin-Fixed, Paraffin Embedded Tissues. Methods and Protocols. 4(3). 47–47. 12 indexed citations
5.
Dong, Huan, Qiang Wang, Ning Li, et al.. (2020). OSgbm: An Online Consensus Survival Analysis Web Server for Glioblastoma. Frontiers in Genetics. 10. 1378–1378. 21 indexed citations
6.
Xie, Longxiang, Huimin Li, Lu Zhang, et al.. (2020). Autophagy-related gene P4HB: a novel diagnosis and prognosis marker for kidney renal clear cell carcinoma. Aging. 12(2). 1828–1842. 52 indexed citations
7.
8.
Wang, Qiang, Zhongyi Yan, Linna Ge, et al.. (2020). OSeac: An Online Survival Analysis Tool for Esophageal Adenocarcinoma. Frontiers in Oncology. 10. 315–315. 7 indexed citations
9.
Xie, Longxiang, Qiang Wang, Linna Ge, et al.. (2019). <p>OSacc: Gene Expression-Based Survival Analysis Web Tool For Adrenocortical Carcinoma</p>. Cancer Management and Research. Volume 11. 9145–9152. 16 indexed citations
10.
Wang, Fengling, Qiang Wang, Ning Li, et al.. (2019). OSuvm: An interactive online consensus survival tool for uveal melanoma prognosis analysis. Molecular Carcinogenesis. 59(1). 56–61. 12 indexed citations
11.
Xie, Longxiang, Qiang Wang, Linna Ge, et al.. (2019). Oskirc: A Web Tool for Identifying Prognostic Biomarkers in Kidney Renal Clear Cell Carcinoma. Future Oncology. 15(27). 3103–3110. 31 indexed citations
12.
Zhong, Sheng, et al.. (2017). S-1 monotherapy versus S-1 combination therapy in gemcitabine-refractory advanced pancreatic cancer. Medicine. 96(30). e7611–e7611. 6 indexed citations
13.
14.
Yang, Huixia, Zhenglong Sun, Chenchen Ding, et al.. (2014). A DEAD-box RNA helicase produces two forms of transcript that differentially respond to cold stress in a cryophyte (Chorispora bungeana). Planta. 240(2). 369–380. 13 indexed citations
15.
Olaru, Florina, Wentian Luo, Hani Suleiman, et al.. (2013). Neonatal Fc Receptor Promotes Immune Complex–Mediated Glomerular Disease. Journal of the American Society of Nephrology. 25(5). 918–925. 30 indexed citations
16.
Olaru, Florina, Wentian Luo, Linna Ge, et al.. (2013). Quaternary Epitopes of α345(IV) Collagen Initiate Alport Post-Transplant Anti-GBM Nephritis. Journal of the American Society of Nephrology. 24(6). 889–895. 4 indexed citations
17.
Olaru, Florina, Wentian Luo, Linna Ge, et al.. (2013). Proteolysis Breaks Tolerance toward Intact α345(IV) Collagen, Eliciting Novel Anti–Glomerular Basement Membrane Autoantibodies Specific for α345NC1 Hexamers. The Journal of Immunology. 190(4). 1424–1432. 21 indexed citations
18.
Zhang, Junjun, Mahdi Malekpour, Wentian Luo, et al.. (2012). Murine Membranous Nephropathy: Immunization with α3(IV) Collagen Fragment Induces Subepithelial Immune Complexes and FcγR-Independent Nephrotic Syndrome. The Journal of Immunology. 188(7). 3268–3277. 25 indexed citations
19.
Zhou, Jin, Jaroslav Pavel, Miroslava Macova, et al.. (2006). AT 1 Receptor Blockade Regulates the Local Angiotensin II System in Cerebral Microvessels From Spontaneously Hypertensive Rats. Stroke. 37(5). 1271–1276. 81 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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