Ruby C. Lo

2.0k citations
28 papers · 1.5k · h-index 19

Impact in

Papers in

Ruby C. Lo

28 papers receiving 1.5k citations

Peers

Ruby C. Lo
Comparison fields: 5 of 61
  • Pulmonary and Respiratory Medicine 1.0k
  • Cardiology and Cardiovascular Medicine 281
  • Surgery 429
  • Internal Medicine 30
  • Endocrinology, Diabetes and Metabolism 41
Replace Peter A. Soden with:
Peter A. Soden United States
Giuseppe Galzerano Italy
Rodney P. Bensley United States
Reese A. Wain United States
Stephen M. Hass United States
Thomas M. Loosemore United Kingdom
Guy Fishwick United Kingdom
Christos Karathanos Greece
Jan Jacob Wever Netherlands
Pierre Gouny France
Ruby C. Lo relative to Peter A. Soden United States Peter A. Soden's profile →
Citations per field
00.5×2×4×6.5×
Peter A. Soden · 1×
Citations per year

Countries citing papers authored by Ruby C. Lo

Since Specialization
Citations

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

Fields of papers citing papers by Ruby C. Lo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruby C. Lo. 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 Ruby C. Lo. The network helps show where Ruby C. Lo may publish in the future.

Co-authors

The 25 scholars most cited alongside Ruby C. Lo, 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 Ruby C. Lo Line = papers co-authored together Ruby C. Lo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013211
2 2014164
3 2013134
4 2015133
5 2016129
6 2016112
7 201482
8 201373
9 201364
10 201760
11 201355
12 201446
13 201339
14 201832
15 201328
16 201327
17 199325
18 201424
19 202121
20 201819

About Ruby C. Lo

Ruby C. Lo is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Surgery, Neurology and Endocrinology, Diabetes and Metabolism, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Aortic aneurysm repair treatments (13 papers), Cerebrovascular and Carotid Artery Diseases (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Aortic Disease and Treatment Approaches (5 papers), Peripheral Artery Disease Management (4 papers), Infectious Aortic and Vascular Conditions (1 paper), Burn Injury Management and Outcomes (1 paper) and Abdominal vascular conditions and treatments (1 paper). The work is most often cited by research in Pulmonary and Respiratory Medicine (1.0k citations), Cardiology and Cardiovascular Medicine (281 citations), Surgery (429 citations), Internal Medicine (30 citations) and Endocrinology, Diabetes and Metabolism (41 citations). Ruby C. Lo has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include Marc L. Schermerhorn, Mark C. Wyers, Allen D. Hamdan, Rodney P. Bensley, Margriet T.M. Fokkema, Robina Matyal, Virendra I. Patel, Mark F. Fillinger, Julie E. Adams and Dominique B. Buck. Their work appears in journals such as Journal of Vascular Surgery, European Journal of Vascular and Endovascular Surgery, Annals of Vascular Surgery, Stroke and The American Journal of Surgery.

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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