Huiling He

5.8k citations
52 papers · 3.3k · 1 hit paper · h-index 24

Impact in

Papers in

Huiling He

51 papers receiving 3.3k citations

Huiling He's Hit Papers

The role of microRNA genes in papillary thyroid carcinoma 2005 · 980 citations
9800+7+14Years since publication250500750

Peers

Huiling He
Comparison fields: 5 of 115
  • Cancer Research 1.4k
  • Endocrinology, Diabetes and Metabolism 818
  • Molecular Biology 2.2k
  • Genetics 443
  • Oncology 397
Replace Marie C. Lin with:
Marie C. Lin China
Inik Chang United States
Giacomo Manenti Italy
Cecilia Garofalo Italy
Alessandro Cama Italy
Martine I. Darville Belgium
Sylvie Polak‐Charcon Israel
Linda E. Greenbaum United States
Elvira Haas Switzerland
Yasuhiro Mitsuuchi United States
Huiling He relative to Marie C. Lin China Marie C. Lin's profile →
Citations per field
00.5×4.6×
Marie C. Lin · 1×
Citations per year

Countries citing papers authored by Huiling He

Since Specialization
Citations

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

Fields of papers citing papers by Huiling He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The role of microRNA genes in papillary thyroid carcinoma
Hit paper breakdown →
2005980
2 2007270
3 1997258
4 2012207
5 2003189
6 2009115
7 201487
8 201181
9 201574
10 201772
11 201368
12 200764
13 201564
14 201563
15 199859
16 199859
17 201356
18 200752
19 201648
20 199740

About Huiling He

Huiling He is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Cancer Research, Genetics and Pathology and Forensic Medicine, having authored 52 papers that have together received 3.3k indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (20 papers), RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (8 papers), BRCA gene mutations in cancer (7 papers), Cell death mechanisms and regulation (7 papers), Genetic factors in colorectal cancer (6 papers), RNA Research and Splicing (5 papers) and Cancer-related gene regulation (4 papers). The work is most often cited by research in Cancer Research (1.4k citations), Endocrinology, Diabetes and Metabolism (818 citations), Molecular Biology (2.2k citations), Genetics (443 citations) and Oncology (397 citations). Huiling He has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Albert de la Chapelle, Sandya Liyanarachchi, Rebecca Nagy, Clark Distelhorst, Saul Suster, Richard T. Kloos, Krystian Jażdżewski, George A. Calin, Carlo M. Croce and Stefano Volinia. Their work appears in journals such as Thyroid, Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism, Scientific Reports and The Journal of Immunology.

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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