G. Nina Lu

50 total papers · 424 total citations
34 papers, 226 citations indexed

About

G. Nina Lu is a scholar working on Surgery, Neurology and Otorhinolaryngology. According to data from OpenAlex, G. Nina Lu has authored 34 papers receiving a total of 226 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surgery, 12 papers in Neurology and 9 papers in Otorhinolaryngology. Recurrent topics in G. Nina Lu's work include Reconstructive Facial Surgery Techniques (14 papers), Facial Nerve Paralysis Treatment and Research (12 papers) and Nasal Surgery and Airway Studies (10 papers). G. Nina Lu is often cited by papers focused on Reconstructive Facial Surgery Techniques (14 papers), Facial Nerve Paralysis Treatment and Research (12 papers) and Nasal Surgery and Airway Studies (10 papers). G. Nina Lu collaborates with scholars based in United States, Botswana and Canada. G. Nina Lu's co-authors include J. David Kriet, Clinton D. Humphrey, Ying Zheng, Joe Feinglass, Mitchell A. Kirby, Yuandong Li, Peijun Tang, Christina Lewicky‐Gaupp, Ruikang K. Wang and Charles E. Murry and has published in prestigious journals such as The Laryngoscope, Light Science & Applications and Head & Neck.

In The Last Decade

G. Nina Lu

27 papers receiving 215 citations

Author Peers

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

Author						Papers	Cites
G. Nina Lu	144	36	33	31	31	34	226
Mehmet Deveer	113 0.8×	23 0.6×	5 0.2×	29 0.9×	61 2.0×	34	325
Kevin Bush	111 0.8×	14 0.4×	35 1.1×	2 0.1×	21 0.7×	19	301
Hiromi Shibuya	93 0.6×	9 0.3×	8 0.2×	8 0.3×	35 1.1×	51	296
Christopher J. Calvano	101 0.7×	12 0.3×	8 0.2×	4 0.1×	30 1.0×	27	294
M. Hol	99 0.7×	29 0.8×	16 0.5×	8 0.3×	14 0.5×	18	244
Figen Palabıyık	142 1.0×	54 1.5×	28 0.8×	38 1.2×	11 0.4×	30	294
Peter Conboy	145 1.0×	23 0.6×	13 0.4×	75 2.4×	5 0.2×	29	272
Nadire Ünver Doğan	185 1.3×	34 0.9×	14 0.4×	29 0.9×	6 0.2×	41	314
Mustafa Erkan	59 0.4×	10 0.3×	5 0.2×	38 1.2×	15 0.5×	26	294
Firdaus Hariri	79 0.5×	16 0.4×	37 1.1×	9 0.3×	6 0.2×	44	264

Countries citing papers authored by G. Nina Lu

Since Specialization

Citations

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

Fields of papers citing papers by G. Nina Lu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Nina Lu

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