Norah E. Liang

24 papers receiving 214 citations

Peers

Norah E. Liang
Comparison fields: 5 of 60
  • Critical Care and Intensive Care Medicine 18
  • Developmental Neuroscience 14
  • Psychiatry and Mental health 45
  • Anesthesiology and Pain Medicine 15
  • Rehabilitation 15
Replace Neer Zeevi with:
Neer Zeevi United States
Frank Röhrich Germany
Yi Chang China
Peter Harrison United Kingdom
Dobri Baldaranov Germany
M. М. Tanashyan Russia
Liquan Lv China
Ramamani Mariappan India
Deepa Bhattarai United States
Xian Lun Zhu China
Norah E. Liang relative to Neer Zeevi United States Neer Zeevi's profile →
Citations per field
00.5×7.8×
Neer Zeevi · 1×
Citations per year

Countries citing papers authored by Norah E. Liang

Since Specialization
Citations

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

Fields of papers citing papers by Norah E. Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Norah E. Liang. 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 Norah E. Liang. The network helps show where Norah E. Liang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201231
2 201331
3 202325
4 201720
5 201619
6 201715
7 202314
8 20259
9 20238
10 20206
11 20215
12 20195
13 20234
14 20243
15 20233
16 20213
17 20243
18 20233
19 20193
20 20242

About Norah E. Liang

Norah E. Liang is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Rheumatology and Molecular Biology, having authored 27 papers that have together received 216 indexed citations. Recurring topics across this work include Obesity and Health Practices (3 papers), Bariatric Surgery and Outcomes (3 papers), Cardiac Valve Diseases and Treatments (3 papers), Mesenchymal stem cell research (2 papers), Intensive Care Unit Cognitive Disorders (2 papers), Wound Healing and Treatments (2 papers), Hidradenitis Suppurativa and Treatments (2 papers) and Pelvic floor disorders treatments (2 papers). The work is most often cited by research in Critical Care and Intensive Care Medicine (18 citations), Developmental Neuroscience (14 citations), Psychiatry and Mental health (45 citations), Anesthesiology and Pain Medicine (15 citations) and Rehabilitation (15 citations). Norah E. Liang has collaborated with scholars based in United States, India and Norway. Frequent co-authors include Jennifer Parker, Michael T. Longaker, Derrick C. Wan, Michelle Griffin, Charlotte E. Berry, Christine Lesch, Gretchen M. Brophy, Denise H. Rhoney, Haley Goodwin and Eljim P. Tesoro. Their work appears in journals such as Advances in Wound Care, Annals of Plastic Surgery, Neurocritical Care, ˜The œJournal of invasive cardiology and JAMA Network Open.

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.

Explore authors with similar magnitude of impact