Xiaoyi Ye

573 citations
25 papers · 368 · h-index 9

Impact in

Papers in

Xiaoyi Ye

25 papers receiving 362 citations

Peers

Xiaoyi Ye
Comparison fields: 5 of 55
  • Transplantation 118
  • Hepatology 47
  • Surgery 136
  • Endocrinology, Diabetes and Metabolism 48
  • Epidemiology 74
Replace Muhammad Saeed with:
Muhammad Saeed United States
Mary Ann Lim United States
Gilad Hamdani United States
Elly M. van Duijnhoven Netherlands
Noritoshi Amada Japan
R. Álvarez-Vijande Spain
Raquel Garcı́a-Roca United States
G Michalak Poland
A. Masier Italy
B. Klare Germany
Xiaoyi Ye relative to Muhammad Saeed United States Muhammad Saeed's profile →
Citations per field
00.5×3.6×
Muhammad Saeed · 1×
Citations per year

Countries citing papers authored by Xiaoyi Ye

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoyi Ye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010121
2 201047
3 201043
4 201028
5 202121
6 202214
7
The effect of online training-based continuous nursing care for rectal cancer-patients undergoing permanent colostomy.
202113
8 20169
9 20099
10 20237
11 20196
12 20226
13 20246
14 20256
15 20245
16 20245
17 20214
18 20214
19 20243
20 20233

About Xiaoyi Ye

Xiaoyi Ye is a scholar working on Surgery, Molecular Biology, Nephrology, Pharmacology and Epidemiology, having authored 25 papers that have together received 368 indexed citations. Recurring topics across this work include Antibiotics Pharmacokinetics and Efficacy (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), Adipose Tissue and Metabolism (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Dialysis and Renal Disease Management (2 papers), COVID-19 Clinical Research Studies (2 papers) and Pharmacological Effects and Toxicity Studies (2 papers). The work is most often cited by research in Transplantation (118 citations), Hepatology (47 citations), Surgery (136 citations), Endocrinology, Diabetes and Metabolism (48 citations) and Epidemiology (74 citations). Xiaoyi Ye has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Hung‐Tien Kuo, Suphamai Bunnapradist, Pavani Reddy, Marcelo Santos Sampaio, Paul Martin, Yan Jiang, Anjay Rastogi, Caroline Rochon, Joseph L. Kuti and Allen R. Nissenson. Their work appears in journals such as Transplantation, The Journal of Nutritional Biochemistry, Clinical Transplantation, Open Forum Infectious Diseases and Scientific Reports.

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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