Lin Hua

2.3k citations
137 papers · 1.6k indexed · h-index 22
Topics
MicroRNA in disease regulation (18 papers)Cancer-related molecular mechanisms research (14 papers)Bioinformatics and Genomic Networks (11 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONEDiabetes Care

In The Last Decade

Lin Hua

132 papers receiving 1.6k citations

Peers

Lin Hua
Comparison fields: 5 of 140
  • Molecular Biology 645
  • Cancer Research 324
  • Surgery 188
  • Immunology 181
  • Pathology and Forensic Medicine 166
Replace Christoph‐Thomas Germer with:
Christoph‐Thomas Germer Germany
Robert J. de Knegt Netherlands
Enrico Ammirati Italy
Joseph Ahn United States
Marcus Franz Germany
Felicitas Escher Germany
Markus Kamler Germany
Isabella Kardys Netherlands
Tadeusz Popiela Poland
Henrik Kjærulf Jensen Denmark
Lin Hua relative to Christoph‐Thomas Germer Germany Christoph‐Thomas Germer's profile →
Citations per field
00.5×1.5×
Christoph‐Thomas Germer · 1×
Citations per year

Countries citing papers authored by Lin Hua

Since Specialization
Citations

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

Fields of papers citing papers by Lin Hua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lin Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Lin Hua. A scholar is included among the top collaborators of Lin Hua based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lin Hua. Lin Hua is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 1
3 4
4 1
5 2
6
IDUA Gene Variants and Response to Zoledronic Acid Treatment in Chinese Women with Postmenopausal Osteoporosis
1
7 3
8 29
9 10
10 1
11 3
12 1
13 6
14 30
15 4
16 4
17 57
18 1
19 39
20
[Clinical value of CYFRA 21-1, HER-2/neu and NSE in differential diagnosis of pleural effusion].
1

About Lin Hua

Lin Hua is a scholar working on Cancer Research, Biological Psychiatry and Transplantation, having authored 137 papers that have together received 1.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (18 papers), Cancer-related molecular mechanisms research (14 papers) and Bioinformatics and Genomic Networks (11 papers). The work is most often cited by research in Cancer Research (324 citations), Biological Psychiatry (41 citations) and Nephrology (81 citations). Lin Hua has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xin Zhong, Jin‐Kui Yang, Yong Dai, Lifa Huang, Jun Yi, Tingting Shi, Guohui Xue, Nanjin Zhou, Junming Li and Weiguo Sui. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Diabetes Care.

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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