Long Tan

1.5k citations
81 papers · 1.1k indexed · h-index 22

Impact in

Papers in

Long Tan

80 papers receiving 1.0k citations

Peers

Long Tan
Comparison fields: 5 of 115
  • Endocrinology, Diabetes and Metabolism 428
  • Pediatrics, Perinatology and Child Health 170
  • Nutrition and Dietetics 121
  • Pathology and Forensic Medicine 131
  • Biochemistry 36
Replace Santos Casado with:
Santos Casado Spain
Maria João Martins Portugal
Laura J. den Hartigh United States
Carlos Fernández‐Fernández Spain
Gabriel Cao Argentina
Rajagopal V. Sekhar United States
Sreedhar Bodiga India
Theresa V. Rohm Switzerland
Anna Leonardini Italy
Asma Omezzine Tunisia
Long Tan relative to Santos Casado Spain Santos Casado's profile →
Citations per field
00.5×11.9×
Santos Casado · 1×
Citations per year

Countries citing papers authored by Long Tan

Since Specialization
Citations

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

Fields of papers citing papers by Long Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201973
2 201142
3 201341
4 201440
5 201838
6 201638
7 202137
8 201337
9 201435
10 201931
11 201530
12 201630
13 201825
14 201824
15 202123
16 202023
17 201922
18 202322
19 201422
20 201821

About Long Tan

Long Tan is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Complementary and Manual Therapy, Pathology and Forensic Medicine and Nutrition and Dietetics, having authored 81 papers that have together received 1.1k indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (32 papers), Thyroid Cancer Diagnosis and Treatment (21 papers), Vitamin D Research Studies (8 papers), Neonatal Health and Biochemistry (6 papers), Hydrocarbon exploration and reservoir analysis (5 papers), Alzheimer's disease research and treatments (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Iron Metabolism and Disorders (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (428 citations), Pediatrics, Perinatology and Child Health (170 citations), Nutrition and Dietetics (121 citations), Pathology and Forensic Medicine (131 citations) and Biochemistry (36 citations). Long Tan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Wanqi Zhang, Jun Shen, Wen Chen, Hua Jin, Elizabeth N. Pearce, Wei Pang, Fuqiang Dai, Hongyan Wei, Mei Zhu and Hongpeng Yang. Their work appears in journals such as Antiviral Research, Journal of Nutrition, American Journal of Clinical Nutrition, Clinical Endocrinology and Energies.

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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