Mingchen Ba

717 citations
31 papers · 563 · h-index 14

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Intraperitoneal and Appendiceal Malignancies

Papers in

    • Intraperitoneal and Appendiceal Malignancies 12
    • Autophagy in Disease and Therapy 6

Mingchen Ba

30 papers receiving 558 citations

Peers

Mingchen Ba
Comparison fields: 5 of 63
  • Cancer Research 184
  • Surgery 192
  • Reproductive Medicine 38
  • Gastroenterology 20
  • Hepatology 28
Replace Kouichiro Tsugawa with:
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Christoph-Thomas Germer Germany
Sorina Tăban Romania
Kinro Sasaki Japan
Senlin Zhu China
Gun Yoon South Korea
Hajime Yokomizo Japan
Tilman Laubert Germany
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Mingchen Ba relative to Kouichiro Tsugawa Japan Kouichiro Tsugawa's profile →
Citations per field
00.5×11×
Kouichiro Tsugawa · 1×
Citations per year

Countries citing papers authored by Mingchen Ba

Since Specialization
Citations

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

Fields of papers citing papers by Mingchen Ba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mingchen Ba, 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 Mingchen Ba Line = papers co-authored together Mingchen Ba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016100
2 201573
3 201050
4
GP73 expression and its significance in the diagnosis of hepatocellular carcinoma: a review.
201240
5 202034
6 201225
7 201321
8 202120
9 202018
10 201118
11 201715
12 201415
13 201714
14 201314
15 201712
16 202011
17 201611
18 202010
19 20149
20 20069

About Mingchen Ba

Mingchen Ba is a scholar working on Surgery, Epidemiology, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 31 papers that have together received 563 indexed citations. Recurring topics across this work include Intraperitoneal and Appendiceal Malignancies (12 papers), Autophagy in Disease and Therapy (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Ovarian cancer diagnosis and treatment (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Cancer Research (184 citations), Surgery (192 citations), Reproductive Medicine (38 citations), Gastroenterology (20 citations) and Hepatology (28 citations). Mingchen Ba has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Shuzhong Cui, Xiangliang Zhang, Huijuan Shi, Hui Long, Yunqiang Tang, Hongsheng Tang, Yuanfeng Gong, Yinuo Tu, Zheng F. Ba and Xiangliang Zhang. Their work appears in journals such as World Journal of Gastroenterology, Oncology Reports, Journal of Cancer Research and Clinical Oncology, Medicine and International Immunopharmacology.

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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