Juki Ng

24 papers receiving 479 citations

Peers

Juki Ng
Comparison fields: 5 of 51
  • Transplantation 80
  • Obstetrics and Gynecology 180
  • Reproductive Medicine 198
  • Hematology 39
  • Pharmaceutical Science 16
Replace Jolanta Żegarska with:
Jolanta Żegarska Poland
Maryam Hosseini Iran
Divya Gupta United States
Jessie Ehrisman United States
Natsuki Koike Japan
Eike Dazert Germany
Yves Gagnon Canada
Vibeke Schiøler Denmark
Jafaru Abu United Kingdom
Irene Woo United States
Juki Ng relative to Jolanta Żegarska Poland Jolanta Żegarska's profile →
Citations per field
00.5×10×15×22×
Jolanta Żegarska · 1×
Citations per year

Countries citing papers authored by Juki Ng

Since Specialization
Citations

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

Fields of papers citing papers by Juki Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Juki Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Juki Ng Line = papers co-authored together Juki Ng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201785
2 201766
3 200158
4 201947
5 200338
6 200629
7 201823
8 201921
9 201920
10 202016
11 200816
12 201814
13 201811
14 202011
15 202411
16 20244
17 20113
18 20213
19 20203
20 20213

About Juki Ng

Juki Ng is a scholar working on Reproductive Medicine, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health, Pediatrics, Perinatology and Child Health and Transplantation, having authored 26 papers that have together received 487 indexed citations. Recurring topics across this work include Endometriosis Research and Treatment (9 papers), Uterine Myomas and Treatments (6 papers), Pregnancy-related medical research (3 papers), Renal Transplantation Outcomes and Treatments (3 papers), Pharmacological Effects and Toxicity Studies (3 papers), Ovarian function and disorders (2 papers), HIV/AIDS drug development and treatment (2 papers) and Intestinal and Peritoneal Adhesions (1 paper). The work is most often cited by research in Transplantation (80 citations), Obstetrics and Gynecology (180 citations), Reproductive Medicine (198 citations), Hematology (39 citations) and Pharmaceutical Science (16 citations). Juki Ng has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Cheri E. Klein, Kristof Chwalisż, Pamala A. Jacobson, David C. Carter, John Rogosheske, Mohamad Shebley, Joseph P. Uberti, Nael M. Mostafa, Voravit Ratanatharathorn and Akshanth R. Polepally. Their work appears in journals such as Clinical Pharmacokinetics, Journal of Clinical Oncology, Fertility and Sterility, CPT Pharmacometrics & Systems Pharmacology and The Journal of Clinical Endocrinology & Metabolism.

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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