Shi‐Hua Lin

889 citations
27 papers · 735 indexed · h-index 14
Topics
Protein purification and stability (7 papers)Monoclonal and Polyclonal Antibodies Research (7 papers)Neuroscience of respiration and sleep (5 papers)
Partner nations
United StatesJapanChina

In The Last Decade

Shi‐Hua Lin

27 papers receiving 717 citations

Peers

Shi‐Hua Lin
Comparison fields: 5 of 92
  • Molecular Biology 290
  • Oncology 141
  • Hematology 125
  • Cellular and Molecular Neuroscience 109
  • Physiology 101
Replace Tatyana Shaw with:
Tatyana Shaw United States
Kelly A. Hogan United States
Matthew Robertson United States
Jean‐Christophe Copin United States
Nicholas Schaum United States
L.S. Miller United States
Andrea Brown United States
Xiaohong Cai China
Lucie Bourgoin Switzerland
Francesca Binda Italy
Shi‐Hua Lin relative to Tatyana Shaw United States Tatyana Shaw's profile →
Citations per field
00.5×5.7×
Tatyana Shaw · 1×
Citations per year

Countries citing papers authored by Shi‐Hua Lin

Since Specialization
Citations

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

Fields of papers citing papers by Shi‐Hua Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shi‐Hua Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Shi‐Hua Lin. A scholar is included among the top collaborators of Shi‐Hua Lin 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 Shi‐Hua Lin. Shi‐Hua Lin 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 2
4 3
5 13
6 1
7 19
8 5
9 31
10 12
11 5
12 5
13 135
14 34
15 29
16 64
17 99
18 30
19 7
20 14

About Shi‐Hua Lin

Shi‐Hua Lin is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Hematology, having authored 27 papers that have together received 735 indexed citations. Recurring topics across this work include Protein purification and stability (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Neuroscience of respiration and sleep (5 papers). The work is most often cited by research in Geriatrics and Gerontology (67 citations), Behavioral Neuroscience (51 citations) and Hematology (125 citations). Shi‐Hua Lin has collaborated with scholars based in United States, Japan and China. Frequent co-authors include Kenneth Maiese, Zhao Zhong Chong, Tatyana Shaw, Andrea M. Vincent, Jing‐Qiong Kang, Kenneth I. Maynard, Toshikazu Kiyohara, Seiji Miyata, Toshihiro Nakashima and Yuan Cao. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences and Journal of Cerebral Blood Flow & 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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