Shao Jun Pang

1.5k total citations
30 papers, 1.2k citations indexed

About

Shao Jun Pang is a scholar working on Oceanography, Ecology and Aquatic Science. According to data from OpenAlex, Shao Jun Pang has authored 30 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oceanography, 14 papers in Ecology and 9 papers in Aquatic Science. Recurrent topics in Shao Jun Pang's work include Marine and coastal plant biology (29 papers), Coastal wetland ecosystem dynamics (13 papers) and Seaweed-derived Bioactive Compounds (8 papers). Shao Jun Pang is often cited by papers focused on Marine and coastal plant biology (29 papers), Coastal wetland ecosystem dynamics (13 papers) and Seaweed-derived Bioactive Compounds (8 papers). Shao Jun Pang collaborates with scholars based in China, Russia and South Korea. Shao Jun Pang's co-authors include Ti Feng Shan, Feng Liu, Su Qin Gao, Klaus Lüning, Su Li, Song Sun, Nan Xu, Thierry Chopin, Norishige Yotsukura and Eun Kyoung Hwang and has published in prestigious journals such as Aquaculture, Journal of Experimental Marine Biology and Ecology and Journal of Applied Phycology.

In The Last Decade

Shao Jun Pang

30 papers receiving 1.2k citations

Peers

Shao Jun Pang
Shao Jun Pang
Citations per year, relative to Shao Jun Pang Shao Jun Pang (= 1×) peers Erik‐jan Malta

Countries citing papers authored by Shao Jun Pang

Since Specialization
Citations

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

Fields of papers citing papers by Shao Jun Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao Jun Pang. 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 Shao Jun Pang. The network helps show where Shao Jun Pang may publish in the future.

Co-authorship network of co-authors of Shao Jun Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Shao Jun Pang. A scholar is included among the top collaborators of Shao Jun Pang 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 Shao Jun Pang. Shao Jun Pang 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
2.
Hwang, Eun Kyoung, Norishige Yotsukura, Shao Jun Pang, Su Li, & Ti Feng Shan. (2019). Seaweed breeding programs and progress in eastern Asian countries. Phycologia. 58(5). 484–495. 112 indexed citations
3.
4.
Li, Su, Shao Jun Pang, Ti Feng Shan, & Xia Li. (2017). Large-scale hatchery of the kelp Saccharina japonica: a case study experience at Lvshun in northern China. Journal of Applied Phycology. 29(6). 3003–3013. 38 indexed citations
5.
Liu, Feng, Shao Jun Pang, & Su Qin Gao. (2015). Growth performance of unialgal gametophytes of the brown alga Saccharina japonica in mass culture conditions. Journal of Applied Phycology. 28(2). 1145–1152. 9 indexed citations
7.
Shan, Ti Feng, Shao Jun Pang, Jing Li, & Su Qin Gao. (2015). Breeding of an elite cultivar Haibao No. 1 of Undaria pinnatifida (Phaeophyceae) through gametophyte clone crossing and consecutive selection. Journal of Applied Phycology. 28(4). 2419–2426. 33 indexed citations
8.
Liu, Feng & Shao Jun Pang. (2015). The mitochondrial genome of the bloom-forming green alga Ulva prolifera. Mitochondrial DNA Part A. 27(6). 4530–4531. 7 indexed citations
9.
Скрипцова, А. В., et al.. (2013). The different morphs of Undaria pinnatifida (Phaeophyceae, Laminariales) in Peter the Great Bay (Sea of Japan) are phenotypic variants: direct evidence. Journal of Applied Phycology. 25(6). 1909–1916. 13 indexed citations
12.
Liu, Feng, Shao Jun Pang, Nan Xu, et al.. (2010). Ulva diversity in the Yellow Sea during the large-scale green algal blooms in 2008-2009. Phycological Research. 58(4). 270–279. 50 indexed citations
14.
Pang, Shao Jun, Feng Liu, Ti Feng Shan, et al.. (2009). Tracking the algal origin of the Ulva bloom in the Yellow Sea by a combination of molecular, morphological and physiological analyses. Marine Environmental Research. 69(4). 207–215. 146 indexed citations
15.
Liu, Feng, Shao Jun Pang, Thierry Chopin, et al.. (2009). The dominant Ulva strain of the 2008 green algal bloom in the Yellow Sea was not detected in the coastal waters of Qingdao in the following winter. Journal of Applied Phycology. 22(5). 531–540. 43 indexed citations
18.
Pang, Shao Jun, et al.. (2008). Responses of vegetative gametophytes of Undaria pinnatifida to high irradiance in the process of gametogenesis. Phycological Research. 56(4). 280–287. 7 indexed citations
19.
Pang, Shao Jun, et al.. (2005). Cultivation of the brown alga Hizikia fusiformis (Harvey) Okamura: enhanced seedling production in tumbled culture. Aquaculture. 245(1-4). 321–329. 39 indexed citations
20.
Pang, Shao Jun, Tian Xiao, & Ying Bao. (2005). Dynamic changes of total bacteria and Vibrio in an integrated seaweed–abalone culture system. Aquaculture. 252(2-4). 289–297. 40 indexed citations

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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