Runlan Tian

12 papers receiving 365 citations

Peers

Runlan Tian
Comparison fields: 5 of 70
  • Nutrition and Dietetics 190
  • Neurology 33
  • Pulmonary and Respiratory Medicine 77
  • Gastroenterology 13
  • Food Science 44
Replace Shirley X.L. Liu with:
Shirley X.L. Liu United States
Ling Xiao China
Patrícia Aparecida Vieira de Barros Brazil
Anders D. Andersen Denmark
Anne Danieli Nascimento Soares Brazil
Simone V. Generoso Brazil
Nisha Mangalat United States
Ulrike Dringenberg Germany
Bettina Loeffler Germany
Simone Helms Germany
Runlan Tian relative to Shirley X.L. Liu United States Shirley X.L. Liu's profile →
Citations per field
00.5×1.5×
Shirley X.L. Liu · 1×
Citations per year

Countries citing papers authored by Runlan Tian

Since Specialization
Citations

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

Fields of papers citing papers by Runlan Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2013214
2 200783
3
Characterization of a necrotizing enterocolitis model in newborn mice.
201037
4 200910
5 20165
6 20124
7 20184
8 20024
9 20113
10 20223
11 20102
12 20111
13 20110

About Runlan Tian

Runlan Tian is a scholar working on Nutrition and Dietetics, Surgery, Molecular Biology, Aerospace Engineering and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 370 indexed citations. Recurring topics across this work include Infant Nutrition and Health (5 papers), Advanced SAR Imaging Techniques (3 papers), Gut microbiota and health (3 papers), Radar Systems and Signal Processing (3 papers), Neonatal Respiratory Health Research (2 papers), Mathematical Analysis and Transform Methods (2 papers), Barrier Structure and Function Studies (1 paper) and Probiotics and Fermented Foods (1 paper). The work is most often cited by research in Nutrition and Dietetics (190 citations), Neurology (33 citations), Pulmonary and Respiratory Medicine (77 citations), Gastroenterology (13 citations) and Food Science (44 citations). Runlan Tian has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Isabelle G. De Plaen, Shirley X.L. Liu, Kelly R. Bergmann, Pauline M. Chou, Jerrold R. Turner, Christopher R. Weber, Wei Hsueh, Jing Lü, Tamás Jilling and Michael J. May. Their work appears in journals such as The FASEB Journal, Pediatric Research, American Journal Of Pathology, Journal of Nanoelectronics and Optoelectronics and American Journal of Physiology-Gastrointestinal and Liver Physiology.

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