Senda Lu

567 total citations
8 papers, 477 citations indexed

About

Senda Lu is a scholar working on Aquatic Science, Immunology and Physiology. According to data from OpenAlex, Senda Lu has authored 8 papers receiving a total of 477 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Aquatic Science, 8 papers in Immunology and 7 papers in Physiology. Recurrent topics in Senda Lu's work include Aquaculture Nutrition and Growth (8 papers), Aquaculture disease management and microbiota (8 papers) and Reproductive biology and impacts on aquatic species (7 papers). Senda Lu is often cited by papers focused on Aquaculture Nutrition and Growth (8 papers), Aquaculture disease management and microbiota (8 papers) and Reproductive biology and impacts on aquatic species (7 papers). Senda Lu collaborates with scholars based in China and United States. Senda Lu's co-authors include Mingjuan Wu, Xiaoyi Wu, Yuan Luo, Wei Yao, Weifeng Li, Yujie Gao, Haoran Lin, Yu Dong, Xiaojun Li and Delbert M. Gatlin and has published in prestigious journals such as Aquaculture, British Journal Of Nutrition and North American Journal of Aquaculture.

In The Last Decade

Senda Lu

8 papers receiving 473 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Senda Lu China	8	440	359	156	49	43	8	477
Mingjuan Wu China	9	440 1.0×	359 1.0×	156 1.0×	49 1.0×	61 1.4×	9	525
G. Corraze France	7	418 0.9×	297 0.8×	185 1.2×	26 0.5×	49 1.1×	8	454
Zhenyan Cheng China	11	677 1.5×	542 1.5×	226 1.4×	29 0.6×	75 1.7×	25	733
Elin C. Valen Norway	9	282 0.6×	270 0.8×	84 0.5×	37 0.8×	80 1.9×	11	381
Ann‐Cecilie Hansen Norway	11	593 1.3×	414 1.2×	245 1.6×	23 0.5×	59 1.4×	14	638
Biao Yun China	8	519 1.2×	288 0.8×	227 1.5×	14 0.3×	45 1.0×	18	549
Yewei Dong China	12	364 0.8×	217 0.6×	99 0.6×	28 0.6×	112 2.6×	25	508
Karolina Kwasek United States	13	351 0.8×	207 0.6×	136 0.9×	34 0.7×	70 1.6×	31	465
Narottam Prasad Sahu India	9	373 0.8×	255 0.7×	68 0.4×	23 0.5×	40 0.9×	24	431
Yi-Rong Yue China	9	396 0.9×	231 0.6×	111 0.7×	13 0.3×	48 1.1×	11	432

Countries citing papers authored by Senda Lu

Since Specialization

Citations

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

Fields of papers citing papers by Senda Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Senda Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Senda Lu. A scholar is included among the top collaborators of Senda Lu 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 Senda Lu. Senda Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Gao, Yujie, et al.. (2019). Effects of dietary protein levels on growth, feed utilization and expression of growth related genes of juvenile giant grouper (Epinephelus lanceolatus). Aquaculture. 504. 369–374. 49 indexed citations

Yao, Wei, Xiaoyi Wu, Yujie Gao, et al.. (2018). Effects of replacing fishmeal protein by hemoglobin powder protein on growth performance, food intake, feeding-related gene expression and gut histology of hybrid grouper ( Epinephelus fuscoguttatus × Epinephelus lanceolatus ) juveniles. Aquaculture. 488. 235–243. 28 indexed citations

Wu, Mingjuan, Xiaoyi Wu, Senda Lu, et al.. (2018). Dietary arginine affects growth, gut morphology, oxidation resistance and immunity of hybrid grouper (Epinephelus fuscoguttatus♀×Epinephelus lanceolatus♂) juveniles. British Journal Of Nutrition. 120(3). 269–282. 56 indexed citations

Lu, Senda, Xiaoyi Wu, Yujie Gao, et al.. (2017). Effects of dietary carbohydrate sources on growth, digestive enzyme activity, gene expression of hepatic GLUTs and key enzymes involved in glycolysis-gluconeogenesis of giant grouper Epinephelus lanceolatus larvae. Aquaculture. 484. 343–350. 39 indexed citations

Wu, Xiaoyi, et al.. (2016). Optimal dietary protein level and protein to energy ratio for hybrid grouper ( Epinephelus fuscoguttatus ♀ × Epinephelus lanceolatus ♂) juveniles. Aquaculture. 465. 28–36. 84 indexed citations

Wu, Mingjuan, et al.. (2016). Effects of dietary amino acid patterns on growth, feed utilization and hepatic IGF-I, TOR gene expression levels of hybrid grouper ( Epinephelus fuscoguttatus ♀ × Epinephelus lanceolatus ♂) juveniles. Aquaculture. 468. 508–514. 64 indexed citations

Luo, Yuan, et al.. (2016). Effects of Different Corn Starch Levels on Growth, Protein Input, and Feed Utilization of Juvenile Hybrid Grouper (male Epinephelus lanceolatus × female E. fuscoguttatus). North American Journal of Aquaculture. 78(2). 168–173. 38 indexed citations

Wu, Xiaoyi, Weifeng Li, Mingjuan Wu, et al.. (2015). Effects of dietary protein and lipid levels on growth, feed utilization, body and plasma biochemical compositions of hybrid grouper (Epinephelus lanceolatus ♂×Epinephelus fuscoguttatus ♀) juveniles. Aquaculture. 446. 148–155. 119 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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