Xiaoming Yi

1.5k citations
31 papers · 1.1k · h-index 15

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Aging top 10%

Papers in

Xiaoming Yi

29 papers receiving 1.1k citations

Peers

Xiaoming Yi
Comparison fields: 5 of 91
  • Cancer Research 344
  • Aging 37
  • Physiology 487
  • Molecular Biology 769
  • Biotechnology 72
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Brittney‐Shea Herbert United States
Bilal Unal Norway
Irit Zurer Israel
Jitendra K. Meena India
Lauréline Roger United Kingdom
Yu Hou China
Huifang Dai China
Ikuko Tsujimoto Japan
Eun‐Joung Moon South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Xiaoming Yi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xiaoming Yi, 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 Xiaoming Yi Line = papers co-authored together Xiaoming Yi 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 2000166
2 2001165
3 1999134
4 199997
5 201682
6 200574
7 201762
8 201855
9 201551
10 201838
11 202235
12
Downregulation of miR-129 in peripheral blood mononuclear cells is a diagnostic and prognostic biomarker in prostate cancer.
201525
13 201617
14 201717
15 201716
16 200812
17 202112
18 202110
19 20208
20
Fast track surgery vs. conventional management in the perioperative care of retroperitoneal laparoscopic adrenalectomy.
20157

About Xiaoming Yi

Xiaoming Yi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Physiology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), Renal cell carcinoma treatment (6 papers), MicroRNA in disease regulation (5 papers), Renal and related cancers (5 papers), Circular RNAs in diseases (5 papers), Bladder and Urothelial Cancer Treatments (4 papers), Epigenetics and DNA Methylation (4 papers) and Telomeres, Telomerase, and Senescence (4 papers). The work is most often cited by research in Cancer Research (344 citations), Aging (37 citations), Physiology (487 citations), Molecular Biology (769 citations) and Biotechnology (72 citations). Xiaoming Yi has collaborated with scholars based in China and United States. Frequent co-authors include Jerry W. Shay, Woodring E. Wright, Chaopeng Tang, Valerie M. Tesmer, Dara L. Aisner, Wenquan Zhou, Joseph A. Baur, Isabelle Savre‐Train, Jingping Ge and Haowei He. Their work appears in journals such as Frontiers in Oncology, Molecular and Cellular Biology, Computer-Aided Civil and Infrastructure Engineering, Neoplasia and Oncology Reports.

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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