Amy D. Lu

2.5k citations
33 papers · 1.4k indexed · 1 hit paper · h-index 16

Amy D. Lu

33 papers receiving 1.4k citations

Hit Papers

Assessing Telemedicine Unreadiness Among Older Adults in ...4372020202620222024100200300400

Peers

Amy D. Lu
Comparison fields: 5 of 100
  • Transplantation 409
  • Hepatology 161
  • Public Health, Environmental and Occupational Health 591
  • Endocrinology, Diabetes and Metabolism 307
  • Surgery 517
Replace Sara Dolan with:
Sara Dolan United States
Rommel Ravanan United Kingdom
Anna Varberg Reisæter Norway
Rebecca P. Winsett United States
Charles S. Modlin United States
Sandra Amaral United States
Rhiannon D. Reed United States
Ralph C. Quillin United States
Paolo R. Salvalaggio United States
Wendy Metcalfe United Kingdom
Amy D. Lu relative to Sara Dolan United States Sara Dolan's profile →
Citations per field
00.5×6.3×
Sara Dolan · 1×
Citations per year

Countries citing papers authored by Amy D. Lu

Since Specialization
Citations

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

Fields of papers citing papers by Amy D. Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy D. Lu. 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 Amy D. Lu. The network helps show where Amy D. Lu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20246
2 202216
3 202123
4 20213
5 20204
6 202010
7 201724
8 201033
9 20095
10 20052
11 200515
12 2004300
13 20025
14 200116
15 200173
16 200116
17 200075
18 200036
19 199923
20 199953

About Amy D. Lu

Amy D. Lu is a scholar working on Transplantation, Hepatology and Health Informatics, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (12 papers), Renal Transplantation Outcomes and Treatments (9 papers), Liver Disease and Transplantation (9 papers), Organ Donation and Transplantation (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Telemedicine and Telehealth Implementation (4 papers), Renal and Vascular Pathologies (3 papers) and Neurological Complications and Syndromes (2 papers). The work is most often cited by research in Transplantation (409 citations), Hepatology (161 citations) and Public Health, Environmental and Occupational Health (591 citations). Amy D. Lu has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Ying Shi, Kenneth E. Covinsky, Kenneth Lam, Kwaku Marfo, Enver Akalin, Min Ling, Kathleen R. Lamborn, Gary D. Hammer, Charles B. Wilson and James Tyrrell. Their work appears in journals such as Transplantation, The American Journal of Surgery, Liver Transplantation, Journal of the American College of Surgeons and JAMA Internal Medicine.

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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