Yin Lu Ng

13 total papers · 472 total citations
7 papers, 348 citations indexed

About

Yin Lu Ng is a scholar working on Gender Studies, Sociology and Political Science and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Yin Lu Ng has authored 7 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Gender Studies, 3 papers in Sociology and Political Science and 3 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Yin Lu Ng's work include Gender Diversity and Inequality (4 papers), Retirement, Disability, and Employment (2 papers) and Family Business Performance and Succession (2 papers). Yin Lu Ng is often cited by papers focused on Gender Diversity and Inequality (4 papers), Retirement, Disability, and Employment (2 papers) and Family Business Performance and Succession (2 papers). Yin Lu Ng collaborates with scholars based in Malaysia, Australia and United States. Yin Lu Ng's co-authors include Muhammad Ali, Carol T. Kulik, Justin Marcus, Barbara A. Fritzsche, Miriam Sang‐Ah Park, Nicholas A. Smith and Prashant Bordia and has published in prestigious journals such as Journal of Business Ethics, Journal of Vocational Behavior and Journal of Business and Psychology.

In The Last Decade

Yin Lu Ng

7 papers receiving 336 citations

Author Peers

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

Author						Papers	Cites
Yin Lu Ng	230	213	108	75	52	7	348
Ayşe Tansel Çetin	163 0.7×	278 1.3×	112 1.0×	115 1.5×	28 0.5×	13	403
Orsola Garofalo	101 0.4×	196 0.9×	144 1.3×	45 0.6×	27 0.5×	11	324
David B. Wangrow	66 0.3×	202 0.9×	112 1.0×	166 2.2×	42 0.8×	13	376
Stanley B. Malos	71 0.3×	82 0.4×	159 1.5×	85 1.1×	78 1.5×	10	352
María del Mar Villegas Periñán	37 0.2×	150 0.7×	209 1.9×	142 1.9×	36 0.7×	11	389
Heather R. Parola	44 0.2×	63 0.3×	130 1.2×	86 1.1×	94 1.8×	8	399
Dove Izraeli	99 0.4×	38 0.2×	102 0.9×	55 0.7×	133 2.6×	11	373
Shainaz Firfiray	44 0.2×	144 0.7×	261 2.4×	51 0.7×	81 1.6×	10	349
Bari L. Bendell	71 0.3×	83 0.4×	113 1.0×	110 1.5×	42 0.8×	14	324
Shuji ‘Rosey’ Bao	49 0.2×	221 1.0×	37 0.3×	156 2.1×	26 0.5×	6	309

Countries citing papers authored by Yin Lu Ng

Since Specialization

Citations

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

Fields of papers citing papers by Yin Lu Ng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Lu Ng

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