Ming Geng

1.3k citations
68 papers · 965 · h-index 19

Impact in

Papers in

Ming Geng

61 papers receiving 949 citations

Peers

Ming Geng
Comparison fields: 5 of 121
  • Internal Medicine 97
  • Emergency Medicine 100
  • Cancer Research 116
  • Hepatology 50
  • Biological Psychiatry 13
Replace Mariano Janiszewski with:
Mariano Janiszewski Brazil
Pallavi Bhargava United States
Mizuho Nosaka Japan
Seok Chan Kim South Korea
Itzchak Slotki Israel
Evie H. Carchman United States
Xiaoyan Ma China
Hakan Kültürsay Türkiye
Ming Geng relative to Mariano Janiszewski Brazil Mariano Janiszewski's profile →
Citations per field
00.5×3.9×
Mariano Janiszewski · 1×
Citations per year

Countries citing papers authored by Ming Geng

Since Specialization
Citations

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

Fields of papers citing papers by Ming Geng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ming Geng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ming Geng Line = papers co-authored together Ming Geng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009129
2 201579
3 201568
4 201260
5 201347
6 201845
7 201238
8
Expression of Wnt-5a and β-catenin in primary hepatocellular carcinoma.
201436
9 200933
10
Correlation between chemosensitivity to anticancer drugs and Bcl-2 expression in gastric cancer.
201330
11 200826
12 202026
13 202323
14 201322
15 201920
16 202419
17 201319
18 202218
19
Presence of smooth muscle cell differentiation in plexiform angiomyxoid myofibroblastic tumor of the stomach: a case report.
201418
20 200717

About Ming Geng

Ming Geng is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Immunology and Pathology and Forensic Medicine, having authored 68 papers that have together received 965 indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (7 papers), Immune Cell Function and Interaction (6 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Cancer-related gene regulation (5 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Epigenetics and DNA Methylation (3 papers) and T-cell and B-cell Immunology (3 papers). The work is most often cited by research in Internal Medicine (97 citations), Emergency Medicine (100 citations), Cancer Research (116 citations), Hepatology (50 citations) and Biological Psychiatry (13 citations). Ming Geng has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Said A. Ibrahim, Michael J. Fine, Drahomir Aujesky, Luting Zhou, Peifeng Li, Maria K. Mor, David Jiménez, Lin Wang, Ling Li and Kejia Wang. Their work appears in journals such as Fish & Shellfish Immunology, Bioorganic & Medicinal Chemistry Letters, Applied Microbiology and Biotechnology, Diagnostic Pathology and World Journal of Gastroenterology.

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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