Siming Liu

1.3k citations
41 papers · 993 · h-index 17

Impact in

Papers in

    • RNA modifications and cancer 5
    • Protein Tyrosine Phosphatases 4
    • Metabolism, Diabetes, and Cancer 3
    • Pancreatic function and diabetes 12

Siming Liu

40 papers receiving 982 citations

Peers

Siming Liu
Comparison fields: 5 of 93
  • Endocrinology, Diabetes and Metabolism 270
  • Surgery 340
  • Endocrine and Autonomic Systems 50
  • Biochemistry 56
  • Genetics 205
Replace Susan Leers‐Sucheta with:
Susan Leers‐Sucheta United States
Bilal Omar Sweden
Chen S. Suen United States
Catherine E. Gleason United States
Alpana Bhattacharjee Canada
Alessandro M. Capponi Switzerland
Qing Dallas-Yang United States
Sarah Hummasti United States
Zhongmin Alex United States
Habiba Najafi United States
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Citations per field
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Citations per year

Countries citing papers authored by Siming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Siming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017160
2 2015116
3 201970
4 200764
5 201652
6 200952
7 199946
8 201242
9 201040
10 201530
11 202025
12 202224
13 201423
14 201421
15
Flavin-containing monooxygenase and cytochrome P450 mediated metabolism of pesticides: from mouse to human.
199821
16 202118
17 199418
18 202116
19 201816
20 201613

About Siming Liu

Siming Liu is a scholar working on Molecular Biology, Surgery, Genetics, Endocrinology, Diabetes and Metabolism and Physiology, having authored 41 papers that have together received 993 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Diabetes and associated disorders (5 papers), RNA modifications and cancer (5 papers), Folate and B Vitamins Research (4 papers), Lipid metabolism and biosynthesis (4 papers), Adipose Tissue and Metabolism (4 papers), Protein Tyrosine Phosphatases (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (270 citations), Surgery (340 citations), Endocrine and Autonomic Systems (50 citations), Biochemistry (56 citations) and Genetics (205 citations). Siming Liu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Yumi Imai, Wenwu Dong, Xiabin Lan, Hao Zhang, Wei Sun, Liang He, Zhihong Wang, Ting Zhang, Amanda M. Ackermann and Cynthia J. Donaldson. Their work appears in journals such as Endocrinology, Diabetes, Journal of Medicinal Chemistry, PLoS ONE and Metabolism.

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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