Sang Ba

539 total citations · 1 hit paper
38 papers, 362 citations indexed

About

Sang Ba is a scholar working on Ecology, Environmental Chemistry and Molecular Biology. According to data from OpenAlex, Sang Ba has authored 38 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Ecology, 13 papers in Environmental Chemistry and 11 papers in Molecular Biology. Recurrent topics in Sang Ba's work include Microbial Community Ecology and Physiology (12 papers), Aquatic Ecosystems and Phytoplankton Dynamics (10 papers) and Protist diversity and phylogeny (8 papers). Sang Ba is often cited by papers focused on Microbial Community Ecology and Physiology (12 papers), Aquatic Ecosystems and Phytoplankton Dynamics (10 papers) and Protist diversity and phylogeny (8 papers). Sang Ba collaborates with scholars based in China, United Kingdom and United States. Sang Ba's co-authors include Xiaodong Li, Xin Shen, Qinglei Sun, Zhengnan Zhang, Nicholas C. Coops, Weidong Zhao, Lin Cao, Zhong Tai, Tristan R.H. Goodbody and Wei Miao and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Sang Ba

33 papers receiving 355 citations

Hit Papers

Distribution patterns and community assembly processes of... 2023 2026 2024 2025 2023 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Distribution patterns and community assembly processes of eukaryotic microorganisms along an altitudinal gradient in the middle reaches of the Yarlung Zangbo River
    2023 85 citations Xiaodong Li, Sang Ba et al. Water Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sang Ba China 9 216 93 64 54 39 38 362
Kasia Przybyla-Kelly United States 7 177 0.8× 116 1.2× 74 1.2× 21 0.4× 14 0.4× 8 356
Cen Chen United States 11 145 0.7× 66 0.7× 30 0.5× 28 0.5× 10 0.3× 20 420
Lisa R. Brown Canada 16 205 0.9× 61 0.7× 43 0.7× 51 0.9× 19 0.5× 24 678
Céline Lesaulnier France 7 180 0.8× 167 1.8× 18 0.3× 34 0.6× 18 0.5× 7 409
Edward O. Keith United States 10 156 0.7× 16 0.2× 6 0.1× 15 0.3× 14 0.4× 29 336
Marie Denis France 14 111 0.5× 99 1.1× 4 0.1× 30 0.6× 14 0.4× 38 668
Latife Köker Türkiye 10 83 0.4× 29 0.3× 11 0.2× 126 2.3× 5 0.1× 30 245
Tadao Kunihiro Japan 11 143 0.7× 148 1.6× 11 0.2× 27 0.5× 8 0.2× 28 358
Snježana Herceg Romanić Croatia 16 75 0.3× 27 0.3× 22 0.3× 34 0.6× 18 0.5× 54 690
Pubo Chen China 9 201 0.9× 125 1.3× 16 0.3× 80 1.5× 14 0.4× 14 449

Countries citing papers authored by Sang Ba

Since Specialization
Citations

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

Fields of papers citing papers by Sang Ba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sang Ba

This figure shows the co-authorship network connecting the top 25 collaborators of Sang Ba. A scholar is included among the top collaborators of Sang Ba 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 Sang Ba. Sang Ba 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
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Yan, Bingjie, et al.. (2025). Mechanism and driving factors of phytoplankton community construction in the lower reaches of Yarlung Zangbo River. Journal of Lake Sciences. 37(1). 215–228. 3 indexed citations
3.
Zhu, Jing, et al.. (2025). Glacial microbial-environmental interactions on the Tibetan Plateau: A review. Water Biology and Security. 4(4). 100366–100366. 2 indexed citations
4.
Cheng, Mingyue, Shuai Luo, Chuanqi Jiang, et al.. (2024). A genome and gene catalog of the aquatic microbiomes of the Tibetan Plateau. Nature Communications. 15(1). 1438–1438. 26 indexed citations
5.
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Yang, Jingjing, Xuyao Zhao, Xiaoyu Wang, et al.. (2023). Biomonitoring of heavy metals and their phytoremediation by duckweeds: Advances and prospects. Environmental Research. 245. 118015–118015. 7 indexed citations
7.
Xiong, Jie, Shuai Luo, Xiaodong Li, et al.. (2023). High Variation in Protist Diversity and Community Composition in Surface Sediment of Hot Springs in Himalayan Geothermal Belt, China. Microorganisms. 11(3). 674–674. 4 indexed citations
8.
Li, Xiaodong, et al.. (2023). Distribution patterns and community assembly processes of eukaryotic microorganisms along an altitudinal gradient in the middle reaches of the Yarlung Zangbo River. Water Research. 239. 120047–120047. 85 indexed citations breakdown →
9.
Liu, Yang, et al.. (2023). Water quality determines protist taxonomic and functional group composition in a high-altitude wetland of international importance. The Science of The Total Environment. 880. 163308–163308. 12 indexed citations
10.
Ding, Bangjing, Lian Feng, Sang Ba, et al.. (2023). Temperature drives elevational diversity patterns of different types of organisms in Qinghai-Tibetan Plateau wetlands. iScience. 26(8). 107252–107252. 11 indexed citations
11.
Yang, Qing, et al.. (2023). Deterministic processes dominate the geographic distribution pattern and community assembly of phytoplankton in typical plateau rivers. Biodiversity Science. 31(7). 23092–23092. 6 indexed citations
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Ba, Sang, et al.. (2022). Phytoplankton in Mitika Wetland, Tibet, China:2. Characteristics of functional groups and their relationship with environmental factors. Journal of Lake Sciences. 34(4). 1115–1126. 2 indexed citations
15.
Wang, Qiong, Zhi‐Pang Huang, Song Huang, et al.. (2021). Faecalibacter rhinopitheci sp. nov., a bacterium isolated from the faeces of Rhinopithecus bieti. INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY. 71(8). 5 indexed citations
16.
Ba, Sang, et al.. (2021). Phytoplankton in the Mitika Wetland, Tibet, China: 1. Spatio-temporal niche of dominant species. Journal of Lake Sciences. 33(6). 1805–1819. 1 indexed citations
17.
Zhao, Xingshan, Xuejun Yin, Xian Li, et al.. (2014). Using a Low-Sodium, High-Potassium Salt Substitute to Reduce Blood Pressure among Tibetans with High Blood Pressure: A Patient-Blinded Randomized Controlled Trial. PLoS ONE. 9(10). e110131–e110131. 48 indexed citations
18.
Li, Shenshen, Xingshan Zhao, Sang Ba, et al.. (2012). Can electronic sphygmomanometers be used for measurement of blood pressure at high altitudes?. Blood Pressure Monitoring. 17(2). 62–68. 4 indexed citations
19.
Ba, Sang, et al.. (2006). Investigation and Analyses about Differences of Meta-cognition in Learning Mathematics of High School Students between the Han and the Tibetan. Journal of Northeast Normal University. 1 indexed citations
20.
Ba, Sang. (2002). Biodiversity in Tibet and Measures for Conservation and Management. Forest Resources Management. 1 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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