Guanglan Mo

2.0k total citations
9 papers, 871 citations indexed

About

Guanglan Mo is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Guanglan Mo has authored 9 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Immunology. Recurrent topics in Guanglan Mo's work include Pancreatic and Hepatic Oncology Research (3 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Guanglan Mo is often cited by papers focused on Pancreatic and Hepatic Oncology Research (3 papers), Single-cell and spatial transcriptomics (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Guanglan Mo collaborates with scholars based in United States and China. Guanglan Mo's co-authors include Elizabeth M. Jaffee, Lei Zheng, Robert A. Anders, Rajni Sharma, Annie A. Wu, Daniel A. Laheru, Christopher L. Wolfgang, Eric R. Lutz, Elaine Bigelow and Kevin C. Soares and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Cancer Research.

In The Last Decade

Guanglan Mo

9 papers receiving 864 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guanglan Mo United States 7 579 404 333 152 68 9 871
Almudena Santos United Kingdom 5 439 0.8× 332 0.8× 275 0.8× 166 1.1× 62 0.9× 6 734
Kelly Foley United States 10 357 0.6× 266 0.7× 335 1.0× 124 0.8× 54 0.8× 14 695
Carolyn Rainer United States 7 484 0.8× 382 0.9× 263 0.8× 160 1.1× 60 0.9× 9 836
Tyler Alban United States 15 377 0.7× 397 1.0× 307 0.9× 163 1.1× 95 1.4× 33 938
Gaia Barisione Italy 12 294 0.5× 452 1.1× 268 0.8× 97 0.6× 59 0.9× 16 808
Maria Georganaki Sweden 11 393 0.7× 315 0.8× 258 0.8× 115 0.8× 117 1.7× 12 711
Mihalis S. Kariolis United States 8 326 0.6× 398 1.0× 241 0.7× 100 0.7× 100 1.5× 10 692
Elisabeth Oelmann Germany 16 268 0.5× 242 0.6× 348 1.0× 102 0.7× 101 1.5× 31 773
Matteo Bocci Sweden 9 458 0.8× 184 0.5× 430 1.3× 229 1.5× 95 1.4× 14 804
Yasemin Kaygusuz United States 3 439 0.8× 291 0.7× 400 1.2× 176 1.2× 57 0.8× 6 854

Countries citing papers authored by Guanglan Mo

Since Specialization
Citations

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

Fields of papers citing papers by Guanglan Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guanglan Mo

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

All Works

9 of 9 papers shown
1.
Zhang, Shuming, Long Yuan, Ludmila Danilova, et al.. (2023). Spatial transcriptomics analysis of neoadjuvant cabozantinib and nivolumab in advanced hepatocellular carcinoma identifies independent mechanisms of resistance and recurrence. Genome Medicine. 15(1). 72–72. 56 indexed citations
2.
Montagne, Janelle M., Dimitrios N. Sidiropoulos, Guanglan Mo, et al.. (2023). Spatially resolved immune receptor repertoires from Visium transcriptomic libraries. The Journal of Immunology. 210(Supplement_1). 251.02–251.02. 1 indexed citations
3.
Zhang, Shu, Qingfeng Zhu, Nicole Groß, et al.. (2021). Abstract 1682: Imaging mass cytometry reveals key spatial features among immune cells in hepatocellular carcinomas treated with neoadjuvant cabozantinib and nivolumab. Cancer Research. 81(13_Supplement). 1682–1682. 1 indexed citations
4.
Ho, Won Jin, Gaurav Sharma, Qingfeng Zhu, et al.. (2020). Integrated immunological analysis of a successful conversion of locally advanced hepatocellular carcinoma to resectability with neoadjuvant therapy. Journal for ImmunoTherapy of Cancer. 8(2). e000932–e000932. 17 indexed citations
5.
Xiao, Qian, Donger Zhou, Agnieszka A. Rucki, et al.. (2016). Cancer-Associated Fibroblasts in Pancreatic Cancer Are Reprogrammed by Tumor-Induced Alterations in Genomic DNA Methylation. Cancer Research. 76(18). 5395–5404. 92 indexed citations
6.
Rucki, Agnieszka A., Kelly Foley, Pingbo Zhang, et al.. (2016). Heterogeneous Stromal Signaling within the Tumor Microenvironment Controls the Metastasis of Pancreatic Cancer. Cancer Research. 77(1). 41–52. 68 indexed citations
7.
Foley, Kelly, Agnieszka A. Rucki, Qian Xiao, et al.. (2015). Semaphorin 3D autocrine signaling mediates the metastatic role of annexin A2 in pancreatic cancer. Science Signaling. 8(388). ra77–ra77. 81 indexed citations
8.
Lutz, Eric R., Annie A. Wu, Elaine Bigelow, et al.. (2014). Immunotherapy Converts Nonimmunogenic Pancreatic Tumors into Immunogenic Foci of Immune Regulation. Cancer Immunology Research. 2(7). 616–631. 399 indexed citations
9.
Zheng, Lei, Kelly Foley, Lanqing Huang, et al.. (2011). Tyrosine 23 Phosphorylation-Dependent Cell-Surface Localization of Annexin A2 Is Required for Invasion and Metastases of Pancreatic Cancer. PLoS ONE. 6(4). e19390–e19390. 156 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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