Ling Hou

2.8k citations
64 papers · 2.1k indexed · h-index 26

Impact in

Papers in

Ling Hou

60 papers receiving 2.0k citations

Peers

Ling Hou
Comparison fields: 5 of 103
  • Cell Biology 967
  • Sensory Systems 113
  • Nutrition and Dietetics 310
  • Ophthalmology 176
  • Cancer Research 289
Replace Édith Aberdam with:
Édith Aberdam France
Stacie K. Loftus United States
Hitomi Aoki Japan
Mayada Tassabehji United Kingdom
Eugene M. Rinchik United States
Rosemary W. Elliott United States
Benny Motro Israel
Anthony Antonellis United States
Yujiro Higashi Japan
Hope O. Sweet United States
Ling Hou relative to Édith Aberdam France Édith Aberdam's profile →
Citations per field
00.5×7.0×
Édith Aberdam · 1×
Citations per year

Countries citing papers authored by Ling Hou

Since Specialization
Citations

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

Fields of papers citing papers by Ling Hou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20231
5 20231
6 20239
7 202035
8 201822
9 201723
10 20168
11 201014
12 200888
13 200622
14 200486
15 200311
16 200154
17 19951
18
Neural Crest Development in Reptilian Embryos, Studied with Monoclonal Antibody, HNK- 1
199431
19 19927
20 199111

About Ling Hou

Ling Hou is a scholar working on Cell Biology, Ophthalmology, Molecular Biology, Nutrition and Dietetics and Urology, having authored 64 papers that have together received 2.1k indexed citations. Recurring topics across this work include melanin and skin pigmentation (29 papers), Retinal Development and Disorders (20 papers), RNA regulation and disease (12 papers), Retinal Diseases and Treatments (10 papers), Biochemical Analysis and Sensing Techniques (9 papers), Cancer-related molecular mechanisms research (5 papers), Ocular Disorders and Treatments (4 papers) and Developmental Biology and Gene Regulation (4 papers). The work is most often cited by research in Cell Biology (967 citations), Sensory Systems (113 citations), Nutrition and Dietetics (310 citations), Ophthalmology (176 citations) and Cancer Research (289 citations). Ling Hou has collaborated with scholars based in China, United States and Japan. Frequent co-authors include William J. Pavan, Heinz Arnheiter, Huirong Li, Jean‐Jacques Panthier, Xiaoyin Ma, Yu Chen, Jia Qu, Stacie K. Loftus, Laura L. Baxter and Debra L. Silver. Their work appears in journals such as Pigment Cell & Melanoma Research, Experimental Eye Research, Investigative Ophthalmology & Visual Science, Development and Scientific 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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