Gang Lu

27 total papers · 420 total citations
19 papers, 350 citations indexed

About

Gang Lu is a scholar working on Geophysics, Paleontology and Geology. According to data from OpenAlex, Gang Lu has authored 19 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Geophysics, 11 papers in Paleontology and 6 papers in Geology. Recurrent topics in Gang Lu's work include Geological and Geochemical Analysis (12 papers), Paleontology and Stratigraphy of Fossils (11 papers) and Geological and Geophysical Studies (6 papers). Gang Lu is often cited by papers focused on Geological and Geochemical Analysis (12 papers), Paleontology and Stratigraphy of Fossils (11 papers) and Geological and Geophysical Studies (6 papers). Gang Lu collaborates with scholars based in China, United States and Italy. Gang Lu's co-authors include Chad McCabe, Dennis V. Kent, Stephen Marshak, Wilfried Winkler, Meinert Rahn, Albrecht von Quadt, Sean D. Willett, Jeremy P. Richards, Jing-Jing Zhu and Ruizhong Hu and has published in prestigious journals such as Earth and Planetary Science Letters, Geophysical Research Letters and Geological Society of America Bulletin.

In The Last Decade

Gang Lu

18 papers receiving 320 citations

Author Peers

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

Author Last Decade Papers Cites
Gang Lu 240 100 84 81 80 19 350
Dajun Fang 305 1.3× 99 1.0× 77 0.9× 201 2.5× 25 0.3× 18 394
Sjoukje T. de Vries 219 0.9× 90 0.9× 163 1.9× 27 0.3× 135 1.7× 12 370
Arne Noe-Nygaard 227 0.9× 103 1.0× 34 0.4× 21 0.3× 41 0.5× 14 306
J. P. Shrivastava 209 0.9× 109 1.1× 77 0.9× 36 0.4× 48 0.6× 34 323
Franck Delpomdor 205 0.9× 107 1.1× 232 2.8× 20 0.2× 107 1.3× 30 400
Shamim Ahmad 131 0.5× 61 0.6× 140 1.7× 57 0.7× 55 0.7× 24 293
R. Dearnley 313 1.3× 108 1.1× 66 0.8× 45 0.6× 23 0.3× 18 396
Michael G. Siemann 125 0.5× 47 0.5× 64 0.8× 28 0.3× 107 1.3× 13 375
William Roggenthen 159 0.7× 171 1.7× 134 1.6× 99 1.2× 40 0.5× 24 313
Lothar Viereck 250 1.0× 91 0.9× 63 0.8× 16 0.2× 34 0.4× 17 330

Countries citing papers authored by Gang Lu

Since Specialization
Citations

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

Fields of papers citing papers by Gang Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Lu

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