Xi Tan

99 papers receiving 1.6k citations

Peers

Xi Tan
Comparison fields: 5 of 170
  • Family Practice 120
  • Geriatrics and Gerontology 83
  • Applied Microbiology and Biotechnology 25
  • Dermatology 109
  • Pharmaceutical Science 47
Replace Ugo Moretti with:
Ugo Moretti Italy
Hans‐Georg Eichler Austria
Ching Siang Tan Malaysia
Li Zhou United States
Liaquat Ali Bangladesh
Andrea Maugeri Italy
Abdulkareem Albekairy Saudi Arabia
Jamshid Salamzadeh Iran
Jung Mi Oh South Korea
Md. Mohaimenul Islam Taiwan
Xi Tan relative to Ugo Moretti Italy Ugo Moretti's profile →
Citations per field
00.5×2×4×6×7.1×
Ugo Moretti · 1×
Citations per year

Countries citing papers authored by Xi Tan

Since Specialization
Citations

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

Fields of papers citing papers by Xi Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018177
2 2014127
3 2012120
4 201595
5 201746
6 201338
7 201635
8 202234
9 201730
10 201128
11 201428
12 201727
13 201626
14 201626
15 201826
16 202224
17 201624
18 202423
19 202123
20 201923

About Xi Tan

Xi Tan is a scholar working on Economics and Econometrics, Endocrinology, Diabetes and Metabolism, Molecular Biology, Cardiology and Cardiovascular Medicine and Family Practice, having authored 108 papers that have together received 1.6k indexed citations. Recurring topics across this work include Diabetes Treatment and Management (9 papers), Medication Adherence and Compliance (8 papers), Health Systems, Economic Evaluations, Quality of Life (7 papers), Heart Failure Treatment and Management (6 papers), Pharmaceutical Practices and Patient Outcomes (5 papers), Plant-Microbe Interactions and Immunity (4 papers), Acne and Rosacea Treatments and Effects (4 papers) and Global Cancer Incidence and Screening (4 papers). The work is most often cited by research in Family Practice (120 citations), Geriatrics and Gerontology (83 citations), Applied Microbiology and Biotechnology (25 citations), Dermatology (109 citations) and Pharmaceutical Science (47 citations). Xi Tan has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Jongwha Chang, Rajesh Balkrishnan, Usha Sambamoorthi, Isha Patel, Qingkui Li, Hai Lin, Shengli Du, Steven R. Feldman, Arijita Deb and Fabian Camacho. Their work appears in journals such as Frontiers in Psychiatry, Medicine, Sustainability, Journal of the National Comprehensive Cancer Network and Breast Cancer Research and Treatment.

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