WW Yan

3.2k total citations · 1 hit paper
17 papers, 2.3k citations indexed

About

WW Yan is a scholar working on Epidemiology, Critical Care and Intensive Care Medicine and Nephrology. According to data from OpenAlex, WW Yan has authored 17 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 5 papers in Critical Care and Intensive Care Medicine and 4 papers in Nephrology. Recurrent topics in WW Yan's work include Sepsis Diagnosis and Treatment (7 papers), Acute Kidney Injury Research (4 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers). WW Yan is often cited by papers focused on Sepsis Diagnosis and Treatment (7 papers), Acute Kidney Injury Research (4 papers) and Trauma, Hemostasis, Coagulopathy, Resuscitation (3 papers). WW Yan collaborates with scholars based in China, Hong Kong and Belgium. WW Yan's co-authors include TK Ng, Kwok‐Yung Yuen, Vincent Chi‐Chung Cheng, Malik Peiris, Leo L. M. Poon, Dnc Tsang, Rwh Yung, John M. Nicholls, W. Lim and Yi Guan and has published in prestigious journals such as The Lancet, Critical Care and Indian Journal of Critical Care Medicine.

In The Last Decade

WW Yan

16 papers receiving 2.2k 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.

Coronavirus as a possible cause of severe acute respiratory syndrome

2003 2.2k citations Malik Peiris, Leo L. M. Poon et al. The Lancet profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
WW Yan China	8	1.8k	548	436	247	242	17	2.3k
Trevor Scobey United States	17	2.1k 1.1×	789 1.4×	215 0.5×	343 1.4×	172 0.7×	28	2.4k
Rwh Yung China	4	2.1k 1.2×	557 1.0×	496 1.1×	245 1.0×	409 1.7×	4	2.9k
TK Ng China	4	2.1k 1.1×	577 1.1×	1.0k 2.3×	271 1.1×	282 1.2×	6	2.9k
Susanne Pfefferle Germany	24	2.4k 1.3×	537 1.0×	392 0.9×	492 2.0×	142 0.6×	63	3.2k
Dnc Tsang China	3	2.2k 1.2×	581 1.1×	1.1k 2.5×	306 1.2×	283 1.2×	5	3.0k
Hatem Q. Makhdoom Saudi Arabia	8	2.3k 1.3×	490 0.9×	448 1.0×	155 0.6×	693 2.9×	9	2.9k
Michael Letko United States	17	2.6k 1.4×	412 0.8×	402 0.9×	534 2.2×	229 0.9×	33	3.3k
Reed F. Johnson United States	29	2.1k 1.1×	334 0.6×	778 1.8×	628 2.5×	174 0.7×	85	3.2k
Mónica Galiano United Kingdom	23	2.0k 1.1×	604 1.1×	1.5k 3.4×	318 1.3×	426 1.8×	40	3.2k

Countries citing papers authored by WW Yan

Since Specialization

Citations

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

Fields of papers citing papers by WW Yan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of WW Yan

This figure shows the co-authorship network connecting the top 25 collaborators of WW Yan. A scholar is included among the top collaborators of WW Yan 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 WW Yan. WW Yan 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:

17 of 17 papers shown

1.

Lau, Susie, et al.. (2024). Prediction of hospital mortality among critically ill patients in a single centre in Asia: comparison of artificial neural networks and logistic regression–based model. Hong Kong Medical Journal. 30(2). 130–138.

2.

Yan, WW, et al.. (2021). Gas embolism and hyperbaric oxygen therapy: a case series. Hong Kong Medical Journal. 27(5). 362–365. 1 indexed citations

3.

Joynt, Gavin M., et al.. (2021). Admission triage tool for adult intensive care unit admission in Hong Kong during the COVID-19 outbreak. Hong Kong Medical Journal. 28(1). 64–72. 9 indexed citations

4.

Shum, Hoi‐Ping, et al.. (2020). Burden of pneumococcal disease: 8-year retrospective analysis from a single centre in Hong Kong. Hong Kong Medical Journal. 26(5). 372–381. 3 indexed citations

5.

Shum, Hoi‐Ping, et al.. (2019). Impact of Dysnatremia and Dyskalemia on Prognosis in Patients with Aneurysmal Subarachnoid Hemorrhage: A Retrospective Study. Indian Journal of Critical Care Medicine. 23(12). 562–567. 13 indexed citations

6.

Lam, Rex Pui Kin, et al.. (2017). Clinical management of sepsis. Hong Kong Medical Journal. 23(3). 296–305. 7 indexed citations

7.

Leung, K. S., et al.. (2016). Acute carbon monoxide poisoning in a regional hospital in Hong Kong: historical cohort study. Hong Kong Medical Journal. 22(1). 46–55. 12 indexed citations

8.

Shum, Hoi‐Ping, WW Yan, & Tak Mao Chan. (2016). Extracorporeal blood purification for sepsis. Hong Kong Medical Journal. 22(5). 478–85. 23 indexed citations

9.

Shum, Hoi‐Ping, WW Yan, & Tak Mao Chan. (2014). Risks and benefits of citrate anticoagulation for continuous renal replacement therapy. Hong Kong Medical Journal. 21(2). 149–54. 3 indexed citations

10.

Hung, Ivan Fan‐Ngai, CK Lee, KL Lee, et al.. (2014). Hyperimmune intravenous immunoglobulin treatment: a multicentre double-blind randomised controlled trial for patients with severe A(H1N1)pdm09 Infection. 2 indexed citations

11.

Yan, WW, et al.. (2013). Benchtop study comparing leakages across cuffs of three endotracheal tubes. Critical Care. 17(S2). 1 indexed citations

12.

Shum, Hoi‐Ping, Kenny Chan, & WW Yan. (2013). Alteco endotoxin hemoadsorption in Gram-negative septic shock patients. Critical Care. 17(S2). 2 indexed citations

13.

Shum, Hoi‐Ping, et al.. (2012). Timing for initiation of continuous renal replacement therapy in patients with septic shock and acute kidney injury. 3. 2 indexed citations

14.

Shum, Hoi‐Ping, et al.. (2012). Timing for initiation of continuous renal replacement therapy in patients with septic shock and acute kidney injury. Critical Care. 16(S1). 3 indexed citations

15.

H, Ng, et al.. (2010). Clostridium perfringens liver abscess with massive haemolysis.. PubMed. 16(4). 310–2. 20 indexed citations

16.

Peiris, Malik, Leo L. M. Poon, Yi Guan, et al.. (2003). Coronavirus as a possible cause of severe acute respiratory syndrome. The Lancet. 361(9366). 1319–1325. 2173 indexed citations breakdown →

17.

Peiris, Malik, Leo L. M. Poon, Yu Guan, et al.. (2003). Peiris JS, Lai ST, Poon LL, et al. Coronavirus as a possible cause of severe acute respiratory syndrome. 14 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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