Jia Ming Low

71 total papers · 881 total citations
36 papers, 570 citations indexed

About

Jia Ming Low is a scholar working on Pulmonary and Respiratory Medicine, Obstetrics and Gynecology and Surgery. According to data from OpenAlex, Jia Ming Low has authored 36 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 8 papers in Obstetrics and Gynecology and 6 papers in Surgery. Recurrent topics in Jia Ming Low's work include COVID-19 Impact on Reproduction (7 papers), Vaccine Coverage and Hesitancy (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Jia Ming Low is often cited by papers focused on COVID-19 Impact on Reproduction (7 papers), Vaccine Coverage and Hesitancy (5 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Jia Ming Low collaborates with scholars based in Singapore, Hong Kong and China. Jia Ming Low's co-authors include J.T. HARVEY, Jorge Dagnino, C. PRYS‐ROBERTS, T. E. Oh, Zubair Amin, C. Andrew van Hasselt, Youjia Zhong, Yvonne Peng Mei Ng, Gregor John and Robert Hutchinson and has published in prestigious journals such as Scientific Reports, American Journal of Obstetrics and Gynecology and Intensive Care Medicine.

In The Last Decade

Jia Ming Low

33 papers receiving 543 citations

Author Peers

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

Author						Papers	Cites
Jia Ming Low	181	178	138	120	87	36	570
Nishant Kumar	169 0.9×	188 1.1×	76 0.6×	54 0.5×	16 0.2×	54	676
Usha Sethuraman	160 0.9×	83 0.5×	52 0.4×	142 1.2×	19 0.2×	57	624
Liza M. Reifler	170 0.9×	149 0.8×	144 1.0×	19 0.2×	16 0.2×	26	693
Joan Balcells	88 0.5×	76 0.4×	75 0.5×	234 1.9×	234 2.7×	48	692
Van Thi Thanh Truong	93 0.5×	39 0.2×	58 0.4×	140 1.2×	228 2.6×	29	643
Kate Birnie	83 0.5×	46 0.3×	110 0.8×	34 0.3×	15 0.2×	31	637
Leigh White	236 1.3×	191 1.1×	84 0.6×	211 1.8×	15 0.2×	52	546
Aiman Suleiman	99 0.5×	180 1.0×	95 0.7×	164 1.4×	8 0.1×	50	638
Ruth Cassidy	329 1.8×	31 0.2×	89 0.6×	62 0.5×	80 0.9×	35	605
Rafael Ortega	145 0.8×	62 0.3×	89 0.6×	152 1.3×	8 0.1×	59	561

Countries citing papers authored by Jia Ming Low

Since Specialization

Citations

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

Fields of papers citing papers by Jia Ming Low

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Ming Low

This figure shows the co-authorship network connecting the top 25 collaborators of Jia Ming Low. A scholar is included among the top collaborators of Jia Ming Low 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 Jia Ming Low. Jia Ming Low 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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