En Cheng

165 total papers · 675 total citations
29 papers, 405 citations indexed

About

En Cheng is a scholar working on Oncology, Physiology and Genetics. According to data from OpenAlex, En Cheng has authored 29 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 10 papers in Physiology and 8 papers in Genetics. Recurrent topics in En Cheng's work include Nutritional Studies and Diet (6 papers), Nutrition and Health in Aging (6 papers) and Diet and metabolism studies (5 papers). En Cheng is often cited by papers focused on Nutritional Studies and Diet (6 papers), Nutrition and Health in Aging (6 papers) and Diet and metabolism studies (5 papers). En Cheng collaborates with scholars based in United States, Canada and Germany. En Cheng's co-authors include Elizabeth M. Cespedes Feliciano, Jeffrey A. Meyerhardt, Melinda L. Irwin, Charles S. Fuchs, Cary P. Gross, Bette J. Caan, Carolyn J. Presley, Pamela R. Soulos, Anna E. Prizment and Roberd M. Bostick and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and JNCI Journal of the National Cancer Institute.

In The Last Decade

En Cheng

26 papers receiving 401 citations

Author Peers

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

Author Last Decade Papers Cites
En Cheng 214 110 79 67 43 29 405
Peter Reese 173 0.8× 67 0.6× 100 1.3× 104 1.6× 44 1.0× 21 478
Peter Nieboer 210 1.0× 54 0.5× 60 0.8× 133 2.0× 31 0.7× 30 469
Güzin Gönüllü 195 0.9× 48 0.4× 42 0.5× 66 1.0× 60 1.4× 23 465
Diane J. Fink 149 0.7× 38 0.3× 42 0.5× 55 0.8× 39 0.9× 18 393
Thomas J. Degnan 104 0.5× 62 0.6× 77 1.0× 55 0.8× 62 1.4× 33 446
Willem Lybaert 143 0.7× 38 0.3× 38 0.5× 89 1.3× 45 1.0× 32 384
Jane Jijun Liu 172 0.8× 74 0.7× 87 1.1× 26 0.4× 59 1.4× 23 398
Moaath K. Mustafa Ali 124 0.6× 31 0.3× 50 0.6× 59 0.9× 43 1.0× 51 372
Kunal C. Kadakia 202 0.9× 81 0.7× 42 0.5× 89 1.3× 62 1.4× 43 446
Roberta Ortiz 103 0.5× 131 1.2× 225 2.8× 61 0.9× 40 0.9× 21 480

Countries citing papers authored by En Cheng

Since Specialization
Citations

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

Fields of papers citing papers by En Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of En Cheng

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