M. S. Woo

532 total citations
9 papers, 317 citations indexed

About

M. S. Woo is a scholar working on Surgery, Endocrine and Autonomic Systems and Pulmonary and Respiratory Medicine. According to data from OpenAlex, M. S. Woo has authored 9 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 2 papers in Endocrine and Autonomic Systems and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in M. S. Woo's work include Transplantation: Methods and Outcomes (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Respiratory Support and Mechanisms (2 papers). M. S. Woo is often cited by papers focused on Transplantation: Methods and Outcomes (2 papers), Cardiac Arrest and Resuscitation (2 papers) and Respiratory Support and Mechanisms (2 papers). M. S. Woo collaborates with scholars based in United States. M. S. Woo's co-authors include David Gozal, Thomas G. Keens, K. J. Omlin, Raanan Arens, Kara Boyd, José María Guerrero Vega, Bernard Kenton, Lawrence Kruger, Gasser M. Hathout and Robert B. Lufkin and has published in prestigious journals such as The Journal of Physiology, American Journal of Respiratory and Critical Care Medicine and Journal of Applied Physiology.

In The Last Decade

M. S. Woo

7 papers receiving 298 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. S. Woo United States	5	159	68	44	37	36	9	317
Eva Serasli Greece	12	182 1.1×	125 1.8×	39 0.9×	72 1.9×	28 0.8×	21	481
Enza Montemitro Italy	13	132 0.8×	126 1.9×	31 0.7×	105 2.8×	24 0.7×	28	408
Charles A. Bryan Canada	9	270 1.7×	244 3.6×	65 1.5×	24 0.6×	18 0.5×	16	475
Sandra L. Miller United States	10	103 0.6×	15 0.2×	23 0.5×	64 1.7×	16 0.4×	25	310
Robert S. Zeller United States	8	163 1.0×	103 1.5×	15 0.3×	17 0.5×	37 1.0×	12	393
Hisaya Hasegawa Japan	10	223 1.4×	183 2.7×	111 2.5×	24 0.6×	13 0.4×	34	375
Alann Solina United States	8	100 0.6×	34 0.5×	61 1.4×	21 0.6×	89 2.5×	13	340
Helen Blackshaw United Kingdom	11	156 1.0×	108 1.6×	62 1.4×	59 1.6×	7 0.2×	21	450
Calogero Grillo Italy	14	108 0.7×	26 0.4×	93 2.1×	27 0.7×	9 0.3×	36	472
Rodrigo Tomazini Martins Australia	10	66 0.4×	89 1.3×	123 2.8×	71 1.9×	26 0.7×	23	319

Countries citing papers authored by M. S. Woo

Since Specialization

Citations

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

Fields of papers citing papers by M. S. Woo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. S. Woo. 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 M. S. Woo. The network helps show where M. S. Woo may publish in the future.

Co-authorship network of co-authors of M. S. Woo

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

9 of 9 papers shown

1.

Kim, Hyun-Ju, et al.. (2025). Study on the Ideation Class for Art Mask Design Using Generative AI. 19(1). 28–35.

2.

Hoffman, Jill A., Kenneth I. Weinberg, C. Azen, et al.. (2004). Human leukocyte antigen‐DR expression on peripheral blood monocytes and the risk of pneumonia in pediatric lung transplant recipients. Transplant Infectious Disease. 6(4). 147–155. 27 indexed citations

3.

Barr, Mark L., Craig Baker, Felicia A. Schenkel, et al.. (2001). Living donor lung transplantation: selection, technique, and outcome. Transplantation Proceedings. 33(7-8). 3527–3532. 31 indexed citations

4.

Lee, Dongwon, et al.. (1999). Ophthalmoscopic examination training using virtual reality. Virtual Reality. 4(3). 184–191. 1 indexed citations

5.

Woo, M. S., et al.. (1999). Safety of Hospitalized Ventilator-Dependent Children Outside of the Intensive Care Unit. Pediatric Physical Therapy. 11(4). 208–208.

6.

Harper, Ronald M., et al.. (1999). Potential Mechanisms of Failure in Sids As Revealed By Neural Imaging of Controls and Cchs Patients. Pediatric Research. 45. 3A–3A. 4 indexed citations

7.

Arens, Raanan, David Gozal, K. J. Omlin, et al.. (1994). Comparison of High Frequency Chest Compression and Conventional Chest Physiotherapy in Hospitalized Patients with Cystic Fibrosis. American Journal of Respiratory and Critical Care Medicine. 150(4). 1154–1157. 127 indexed citations

8.

Gozal, David, Gasser M. Hathout, Hong Tang, et al.. (1994). Localization of putative neural respiratory regions in the human by functional magnetic resonance imaging. Journal of Applied Physiology. 76(5). 2076–2083. 86 indexed citations

9.

Kenton, Bernard, Lawrence Kruger, & M. S. Woo. (1971). Two classes of slowly adapting mechanoreceptor fibres in reptile cutaneous nerve. The Journal of Physiology. 212(1). 21–44. 41 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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