L. Wang

565 citations
14 papers · 423 · h-index 10

Impact in

Papers in

    • Genetic Mapping and Diversity in Plants and Animals 5
    • Genetic and phenotypic traits in livestock 4
    • Molecular Biology Techniques and Applications 2

L. Wang

13 papers receiving 391 citations

Peers

L. Wang
Comparison fields: 5 of 94
  • Management Information Systems 96
  • Water Science and Technology 71
  • Animal Science and Zoology 51
  • Genetics 134
  • Management Science and Operations Research 51
Replace Víctor M. Albornoz with:
Víctor M. Albornoz Chile
Sharad Chandra Srivastava India
Xiaozheng Li China
Kullapapruk Piewthongngam Thailand
Nam-Wook Cho South Korea
John Haldi United States
Emilio L. Cano Spain
Oduvaldo Vendrametto Brazil
Jianping Qian China
Demetri Petrides United States
L. Wang relative to Víctor M. Albornoz Chile Víctor M. Albornoz's profile →
Citations per field
00.5×10×16.8×
Víctor M. Albornoz · 1×
Citations per year

Countries citing papers authored by L. Wang

Since Specialization
Citations

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

Fields of papers citing papers by L. Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2008103
2 200479
3 199866
4 199941
5 200635
6 200821
7 199820
8 199619
9 199713
10 200812
11 19987
12
Mapping Genes for Fatness and Growth on Pig Chromosome 13: A Search in the Region Close to the Pig PIT1 Gene
19996
13 19951
14 20250

About L. Wang

L. Wang is a scholar working on Genetics, Molecular Biology, Animal Science and Zoology, Industrial and Manufacturing Engineering and Ocean Engineering, having authored 14 papers that have together received 423 indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (5 papers), Genetic and phenotypic traits in livestock (4 papers), Animal Nutrition and Physiology (2 papers), Particle Dynamics in Fluid Flows (2 papers), Coagulation and Flocculation Studies (2 papers), Pickering emulsions and particle stabilization (2 papers), Molecular Biology Techniques and Applications (2 papers) and Manufacturing Process and Optimization (2 papers). The work is most often cited by research in Management Information Systems (96 citations), Water Science and Technology (71 citations), Animal Science and Zoology (51 citations), Genetics (134 citations) and Management Science and Operations Research (51 citations). L. Wang has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include M. F. Rothschild, Bopaya Bidanda, Christopher K. Tuggle, Rodney O. Fox, Guiping Hu, Daniele Marchisio, R. Dennis Vigil, T.‐P. Yu, Massimo Morbidelli and Ján Šefčı́k. Their work appears in journals such as Animal Genetics, Journal of Colloid and Interface Science, Journal of Animal Science, International Journal of Production Research and Mammalian Genome.

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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