Jacqueline W.T. Lu

17 total papers · 977 total citations
13 papers, 760 citations indexed

About

Jacqueline W.T. Lu is a scholar working on Health, Toxicology and Mutagenesis, Global and Planetary Change and Speech and Hearing. According to data from OpenAlex, Jacqueline W.T. Lu has authored 13 papers receiving a total of 760 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Health, Toxicology and Mutagenesis, 7 papers in Global and Planetary Change and 4 papers in Speech and Hearing. Recurrent topics in Jacqueline W.T. Lu's work include Urban Green Space and Health (10 papers), Land Use and Ecosystem Services (7 papers) and Noise Effects and Management (4 papers). Jacqueline W.T. Lu is often cited by papers focused on Urban Green Space and Health (10 papers), Land Use and Ecosystem Services (7 papers) and Noise Effects and Management (4 papers). Jacqueline W.T. Lu collaborates with scholars based in United States, United Kingdom and Egypt. Jacqueline W.T. Lu's co-authors include Christopher Small, Andrew Rundle, Sean W. MacFaden, Jarlath O’Neil‐Dunne, Kristen L. King, Thomas Matte, Lindsay K. Campbell, Daniel M. Sheehan, Frederica P. Perera and Matthew S. Perzanowski and has published in prestigious journals such as Remote Sensing of Environment, Environmental Health Perspectives and Science Advances.

In The Last Decade

Jacqueline W.T. Lu

13 papers receiving 724 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jacqueline W.T. Lu 478 385 373 149 129 13 760
Annett Wania 374 0.8× 361 0.9× 269 0.7× 98 0.7× 78 0.6× 21 899
Wanben Wu 233 0.5× 459 1.2× 399 1.1× 206 1.4× 61 0.5× 22 813
Yuhao Lu 461 1.0× 411 1.1× 242 0.6× 64 0.4× 72 0.6× 18 694
Eric J. Greenfield 484 1.0× 560 1.5× 428 1.1× 184 1.2× 44 0.3× 19 866
Q. Xiao 313 0.7× 320 0.8× 269 0.7× 132 0.9× 33 0.3× 20 619
Mahyar Masoudi 516 1.1× 528 1.4× 490 1.3× 69 0.5× 70 0.5× 11 754
Yulin Dong 419 0.9× 409 1.1× 433 1.2× 71 0.5× 93 0.7× 25 716
Yvonne Golding 290 0.6× 470 1.2× 237 0.6× 113 0.8× 24 0.2× 10 759
Rachel N. McInnes 550 1.2× 223 0.6× 272 0.7× 58 0.4× 114 0.9× 11 765
Alexander Buyantuev 299 0.6× 456 1.2× 283 0.8× 207 1.4× 38 0.3× 23 866

Countries citing papers authored by Jacqueline W.T. Lu

Since Specialization
Citations

This map shows the geographic impact of Jacqueline W.T. 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 Jacqueline W.T. Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacqueline W.T. Lu more than expected).

Fields of papers citing papers by Jacqueline W.T. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline W.T. Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline W.T. Lu. A scholar is included among the top collaborators of Jacqueline W.T. 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 Jacqueline W.T. Lu. Jacqueline W.T. 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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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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