Tiedong Guo

1.1k total citations
10 papers, 858 citations indexed

About

Tiedong Guo is a scholar working on Endocrinology, Diabetes and Metabolism, Pediatrics, Perinatology and Child Health and Molecular Biology. According to data from OpenAlex, Tiedong Guo has authored 10 papers receiving a total of 858 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Pediatrics, Perinatology and Child Health and 2 papers in Molecular Biology. Recurrent topics in Tiedong Guo's work include Hormonal and reproductive studies (5 papers), Estrogen and related hormone effects (2 papers) and Neonatal Health and Biochemistry (2 papers). Tiedong Guo is often cited by papers focused on Hormonal and reproductive studies (5 papers), Estrogen and related hormone effects (2 papers) and Neonatal Health and Biochemistry (2 papers). Tiedong Guo collaborates with scholars based in United States, Sweden and Finland. Tiedong Guo's co-authors include Steven J. Soldin, Offie P. Soldin, Ravinder Singh, Robert L. Taylor, Michael Chan, Rochelle E. Tractenberg, Leena Hilakivi‐Clarke, Elisabete Weiderpass, Damodara Rao Mendu and Jianghong Gu and has published in prestigious journals such as Fertility and Sterility, Clinica Chimica Acta and Thyroid.

In The Last Decade

Tiedong Guo

10 papers receiving 838 citations

Peers

Tiedong Guo
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 451
  • Molecular Biology 228
  • Spectroscopy 153
  • Pediatrics, Perinatology and Child Health 110
  • Genetics 107
Replace Jo Adaway with:
Jo Adaway United Kingdom
Bingfang Yue United States
Alberto Sánchez‐Guijo Germany
Laura Owen United Kingdom
Paul W. N. Lee United States
R. V. Brooks United Kingdom
M. Schöneshöfer Germany
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Jo Adaway United Kingdom View profile →
Citations per field, relative to Tiedong Guo
Tiedong Guo · 1×
Citations per year, relative to Tiedong Guo
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Countries citing papers authored by Tiedong Guo

Since Specialization
Citations

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

Fields of papers citing papers by Tiedong Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiedong Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Tiedong Guo. A scholar is included among the top collaborators of Tiedong Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tiedong Guo. Tiedong Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
# Work Indexed citations
1 35
2 84
3 188
4 54
5 67
6 137
7 43
8 120
9 66
10 64

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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2026