Daniel P. K. Ng

34 total papers · 2.8k total citations
20 papers, 766 citations indexed

About

Daniel P. K. Ng is a scholar working on Genetics, Molecular Biology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Daniel P. K. Ng has authored 20 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Molecular Biology and 4 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Daniel P. K. Ng's work include Genetic Associations and Epidemiology (7 papers), Diabetes Treatment and Management (3 papers) and Pancreatic function and diabetes (3 papers). Daniel P. K. Ng is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Diabetes Treatment and Management (3 papers) and Pancreatic function and diabetes (3 papers). Daniel P. K. Ng collaborates with scholars based in Singapore, United States and Japan. Daniel P. K. Ng's co-authors include Kee Seng Chia, E Shyong Tai, Siti Nurbaya, Tien Yin Wong, Ken Wei Tan, David Koh, Bee Choo Tai, Mark Seielstad, Jonathan T. Tan and Jianjun Liu and has published in prestigious journals such as Endocrine Reviews, The Journal of Clinical Endocrinology & Metabolism and Diabetes.

In The Last Decade

Daniel P. K. Ng

20 papers receiving 746 citations

Author Peers

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

Author Last Decade Papers Cites
Daniel P. K. Ng 334 301 191 141 116 20 766
Yoichi Hamada 178 0.5× 175 0.6× 274 1.4× 200 1.4× 63 0.5× 19 669
Maija Parkkonen 201 0.6× 264 0.9× 214 1.1× 103 0.7× 70 0.6× 21 663
Shoichi Tomono 164 0.5× 194 0.6× 213 1.1× 167 1.2× 136 1.2× 41 685
Anna Möllsten 273 0.8× 132 0.4× 372 1.9× 120 0.9× 113 1.0× 26 775
Nektaria Papadopoulou‐Marketou 114 0.3× 154 0.5× 241 1.3× 66 0.5× 187 1.6× 20 733
Yuzuru Ohshiro 91 0.3× 238 0.8× 183 1.0× 75 0.5× 146 1.3× 20 782
Taishan Zheng 208 0.6× 343 1.1× 206 1.1× 59 0.4× 37 0.3× 32 661
Kiyohiko Negishi 195 0.6× 223 0.7× 290 1.5× 69 0.5× 37 0.3× 31 687
H. J. Arnqvist 199 0.6× 284 0.9× 372 1.9× 76 0.5× 24 0.2× 27 770
Marja Deckert 89 0.3× 101 0.3× 253 1.3× 192 1.4× 332 2.9× 18 692

Countries citing papers authored by Daniel P. K. Ng

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. K. Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. K. 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 Daniel P. K. Ng. The network helps show where Daniel P. K. Ng may publish in the future.

Co-authorship network of co-authors of Daniel P. K. Ng

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