Mingxue Geng

432 total citations · 1 hit paper
8 papers, 322 citations indexed

About

Mingxue Geng is a scholar working on Molecular Biology, Oncology and Surgery. According to data from OpenAlex, Mingxue Geng has authored 8 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Surgery. Recurrent topics in Mingxue Geng's work include Pancreatic and Hepatic Oncology Research (4 papers), Cancer Genomics and Diagnostics (2 papers) and Gastroesophageal reflux and treatments (1 paper). Mingxue Geng is often cited by papers focused on Pancreatic and Hepatic Oncology Research (4 papers), Cancer Genomics and Diagnostics (2 papers) and Gastroesophageal reflux and treatments (1 paper). Mingxue Geng collaborates with scholars based in Germany, United Kingdom and China. Mingxue Geng's co-authors include Thomas M. Gress, F. Müller-Pillasch, Mengyun Xu, Xiumei Wu, Peter J. Little, Suowen Xu, Jianping Weng, G. Adler, G. Zehetner and Helmut Friess and has published in prestigious journals such as Gastroenterology, Annals of the New York Academy of Sciences and Annals of Oncology.

In The Last Decade

Mingxue Geng

8 papers receiving 320 citations

Hit Papers

align trajectories

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.

Targeting protein modifications in metabolic diseases: molecular mechanisms and targeted therapies

2023 142 citations Xiumei Wu, Mengyun Xu et al. Signal Transduction and Targeted Therapy profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mingxue Geng Germany	5	216	80	68	28	27	8	322
Moon-Chang Choi South Korea	9	379 1.8×	90 1.1×	54 0.8×	46 1.6×	17 0.6×	11	456
Ann‐Marie Ritchie United Kingdom	9	330 1.5×	116 1.4×	45 0.7×	24 0.9×	20 0.7×	10	397
Yongkang Zou China	8	203 0.9×	110 1.4×	86 1.3×	59 2.1×	17 0.6×	14	340
Nahal Haddadi Australia	6	318 1.5×	55 0.7×	104 1.5×	44 1.6×	14 0.5×	7	409
Salma Kaochar United States	12	295 1.4×	91 1.1×	89 1.3×	12 0.4×	36 1.3×	18	458
Rujun Mo China	13	282 1.3×	115 1.4×	147 2.2×	67 2.4×	21 0.8×	21	454
Mina Aikawa United States	8	430 2.0×	79 1.0×	25 0.4×	35 1.3×	41 1.5×	8	503

Countries citing papers authored by Mingxue Geng

Since Specialization

Citations

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

Fields of papers citing papers by Mingxue Geng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mingxue Geng

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

All Works

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8 of 8 papers shown

1.

Wu, Xiumei, Mengyun Xu, Mingxue Geng, et al.. (2023). Targeting protein modifications in metabolic diseases: molecular mechanisms and targeted therapies. Signal Transduction and Targeted Therapy. 8(1). 220–220. 142 indexed citations breakdown →

2.

Liu, Jiamin, et al.. (2021). [Identification of potential hub genes of Alzheimer's disease by weighted gene co-expression network analysis].. PubMed. 41(12). 1752–1762. 2 indexed citations

3.

Vries, Durk R. de, J. J. M. Ter Linde, Margot A. van Herwaarden, et al.. (2008). In GERD patients, mucosal repair associated genes are upregulated in non‐inflamed oesophageal epithelium. Journal of Cellular and Molecular Medicine. 13(5). 936–947. 4 indexed citations

4.

Müller-Pillasch, F., Christoph Wenger, Mingxue Geng, et al.. (1999). Strategies for the Detection of Disease Genes in Pancreatic Cancer. Annals of the New York Academy of Sciences. 880(1). 122–146. 3 indexed citations

5.

Wallrapp, Christine, F. Müller-Pillasch, Christoph Wenger, et al.. (1999). Novel technology for detection of genomic and transcriptional alterations in pancreatic cancer. Annals of Oncology. 10. S64–S68. 4 indexed citations

6.

Geng, Mingxue, Gail K. Adler, & Thomas M. Gress. (1998). Identification of TGFβ target genes in pancreatic cancer cells by cDNA representational difference analysis. Gastroenterology. 114. A600–A600. 5 indexed citations

7.

Geng, Mingxue, Christine Wallrapp, F. Müller-Pillasch, et al.. (1998). Isolation of Differentially Expressed Genes by Combining Representational Difference Analysis (RDA) and cDNA Library Arrays. BioTechniques. 25(3). 434–438. 25 indexed citations

8.

Gress, Thomas M., F. Müller-Pillasch, Mingxue Geng, et al.. (1996). A pancreatic cancer-specific expression profile.. PubMed. 13(8). 1819–30. 137 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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