Kam Ming Chow

1.7k total citations · 1 hit paper
7 papers, 1.1k citations indexed

About

Kam Ming Chow is a scholar working on Obstetrics and Gynecology, Infectious Diseases and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Kam Ming Chow has authored 7 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Obstetrics and Gynecology, 3 papers in Infectious Diseases and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Kam Ming Chow's work include COVID-19 Impact on Reproduction (4 papers), COVID-19 and healthcare impacts (3 papers) and COVID-19 Clinical Research Studies (2 papers). Kam Ming Chow is often cited by papers focused on COVID-19 Impact on Reproduction (4 papers), COVID-19 and healthcare impacts (3 papers) and COVID-19 Clinical Research Studies (2 papers). Kam Ming Chow collaborates with scholars based in Hong Kong, New Zealand and China. Kam Ming Chow's co-authors include Lau Cheung Ho, Tse Ngong Leung, Shell Fean Wong, Sik To Lai, Wai Fu Ng, W. W. K. To, Wing‐Wa Yan, Pak Cheung Ng, Tak Keung Ng and Wai Cho Yu and has published in prestigious journals such as Scientific Reports, American Journal of Obstetrics and Gynecology and BJOG An International Journal of Obstetrics & Gynaecology.

In The Last Decade

Kam Ming Chow

7 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pregnancy and perinatal outcomes of women with severe acute respiratory syndrome

2004 686 citations Shell Fean Wong, Kam Ming Chow et al. American Journal of Obstetrics and Gynecology profile →

Peers

Kam Ming Chow

OG

PHEOH

PPCH

ONCOL

ID

Lau Cheung Ho Hong Kong

Shell Fean Wong Hong Kong

Karen Lim Singapore

Wanjiang Zeng China

Lingkong Zeng China

Jianli Wu China

Qingling Kang China

Penelope Strid United States

Leena B. Mithal United States

Kavita Narang United States

Lau Cheung Ho Hong Kong

Kam Ming Chow

994 ×1.0

OG

457 ×1.1

PHEOH

494 ×1.3

PPCH

245 ×0.9

ONCOL

198 ×1.0

ID

Citations per year, relative to Kam Ming Chow Kam Ming Chow (= 1×) peers Lau Cheung Ho

Countries citing papers authored by Kam Ming Chow

Since Specialization

Citations

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

Fields of papers citing papers by Kam Ming Chow

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kam Ming Chow. 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 Kam Ming Chow. The network helps show where Kam Ming Chow may publish in the future.

Co-authorship network of co-authors of Kam Ming Chow

This figure shows the co-authorship network connecting the top 25 collaborators of Kam Ming Chow. A scholar is included among the top collaborators of Kam Ming Chow 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 Kam Ming Chow. Kam Ming Chow is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Leung, Wing Cheong, et al.. (2015). Validation of the Drug Abuse Screening Test (DAST-10): A study on illicit drug use among Chinese pregnant women. Scientific Reports. 5(1). 11420–11420. 22 indexed citations

2.

Leung, Wing Cheong, et al.. (2011). Re-emergence of late presentations of fetal haemoglobin Bart's disease in Hong Kong.. PubMed. 17(6). 434–40. 10 indexed citations

3.

Ng, Wai Fu, et al.. (2006). The placentas of patients with severe acute respiratory syndrome: a pathophysiological evaluation. Pathology. 38(3). 210–218. 105 indexed citations

4.

Wong, Shell Fean, Kam Ming Chow, Tse Ngong Leung, et al.. (2004). Pregnancy and perinatal outcomes of women with severe acute respiratory syndrome. American Journal of Obstetrics and Gynecology. 191(1). 292–297. 686 indexed citations breakdown →

5.

Wong, Shiu F., et al.. (2004). Measures to Prevent Healtcare Workers from Contracting Severe Acute Respiratory Syndrome During High-Risk Surgical Procedures. European Journal of Clinical Microbiology & Infectious Diseases. 23(2). 131–133. 11 indexed citations

6.

Wong, Shell Fean, Tse Ngong Leung, Kam Ming Chow, et al.. (2004). A case‐controlled study comparing clinical course and outcomes of pregnant and non‐pregnant women with severe acute respiratory syndrome. BJOG An International Journal of Obstetrics & Gynaecology. 111(8). 771–774. 217 indexed citations

7.

Wong, Shiu F., Kam Ming Chow, & Michael de Swiet. (2003). Severe Acute Respiratory Syndrome and pregnancy. BJOG An International Journal of Obstetrics & Gynaecology. 110(7). 641–642. 73 indexed citations

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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