Song Huang

4.6k total citations · 1 hit paper
129 papers, 3.5k citations indexed

About

Song Huang is a scholar working on Molecular Biology, Pharmacology and Epidemiology. According to data from OpenAlex, Song Huang has authored 129 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Molecular Biology, 18 papers in Pharmacology and 17 papers in Epidemiology. Recurrent topics in Song Huang's work include Biological and pharmacological studies of plants (11 papers), Genomics and Phylogenetic Studies (7 papers) and Natural product bioactivities and synthesis (7 papers). Song Huang is often cited by papers focused on Biological and pharmacological studies of plants (11 papers), Genomics and Phylogenetic Studies (7 papers) and Natural product bioactivities and synthesis (7 papers). Song Huang collaborates with scholars based in China, South Korea and United States. Song Huang's co-authors include Shaozhen Hou, Xiao‐Ping Lai, Jian Liang, Lian He, Qingping Xiong, Zhirong Shen, Jin‐Man Kim, Zhenhua Dai, Feifei Qiu and Chun-Ling Liang and has published in prestigious journals such as Science, Cell and Journal of Biological Chemistry.

In The Last Decade

Song Huang

123 papers receiving 3.4k citations

Hit Papers

Impacts of cigarette smoking on immune responsiveness: Up... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Song Huang
Comparison fields: 5 of 152
  • Molecular Biology 1.6k
  • Plant Science 616
  • Pharmacology 458
  • Epidemiology 398
  • Immunology 353
Replace Betty Schwartz with:
Betty Schwartz Israel
Zhicai Zuo China
Lijuan Zhang China
Eun‐Hee Kim South Korea
Fahad A. Al‐Abbasi Saudi Arabia
Yi Chen China
Dong-Hyun Kim South Korea
Shih‐Lan Hsu Taiwan
Carla Cicala Italy
Betty Schwartz Israel View profile →
Citations per field, relative to Song Huang
Song Huang · 1×
Citations per year, relative to Song Huang
Song Huang · 1×

Countries citing papers authored by Song Huang

Since Specialization
Citations

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

Fields of papers citing papers by Song Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Song Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Song Huang. A scholar is included among the top collaborators of Song Huang 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 Song Huang. Song Huang 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
# Work Indexed citations
1 0
2 2
3 1
4 44
5 5
6 13
7 24
8 2
9 33
10 19
11 1
12 3
13 5
14 18
15 22
16 27
17
Improving The Oral Absorption Of Nintedanib By A Self-Microemulsion Drug Delivery System: Preparation And In Vitro/In Vivo Evaluation
1
18 26
19 5
20 30

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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