Yadi Huang

7.6k citations
20 papers · 4.6k indexed · 1 hit paper · h-index 12
Topics
Neonatal Respiratory Health Research (4 papers)Cancer, Hypoxia, and Metabolism (3 papers)RNA modifications and cancer (3 papers)

In The Last Decade

Yadi Huang

19 papers receiving 4.5k citations

Hit Papers

IDF Diabetes Atlas: Global estimates for the prevalence o...2017202620202023201710002.0k3.0k4.0k

Peers

Yadi Huang
Comparison fields: 5 of 159
  • Endocrinology, Diabetes and Metabolism 1.7k
  • Molecular Biology 946
  • Epidemiology 665
  • Surgery 664
  • Physiology 613
Replace Lydia Makaroff with:
Lydia Makaroff Belgium
Jessica Beagley United States
Caroline Stein Brazil
Hong Sun China
Clara Weil Israel
Steven James Australia
Shihchen Kuo United States
David Cavan United Kingdom
Qiuhe Ji China
Alireza Esteghamati Iran
Yadi Huang relative to Lydia Makaroff Belgium Lydia Makaroff's profile →
Citations per field
00.5×1.5×
Lydia Makaroff · 1×
Citations per year

Countries citing papers authored by Yadi Huang

Since Specialization
Citations

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

Fields of papers citing papers by Yadi Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yadi Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Yadi Huang. A scholar is included among the top collaborators of Yadi Huang 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 Yadi Huang. Yadi Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 6
4 4
5 3
6 4
7 25
8 14
9 11
10 20
11 25
12 4
13 7
14
IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040breakdown →
4215
15 24
16 72
17 25
18 24
19 39
20 74

About Yadi Huang

Yadi Huang is a scholar working on Endocrine and Autonomic Systems, Organizational Behavior and Human Resource Management and Otorhinolaryngology, having authored 20 papers that have together received 4.6k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.7k citations), Ophthalmology (337 citations) and Family Practice (61 citations). Yadi Huang has collaborated with scholars based in China, Netherlands and Australia. Frequent co-authors include Jonathan E. Shaw, Leonor Guariguata, João Fernandes, David Cavan, Ute Linnenkamp, Katherine Ogurtsova, Lydia Makaroff, Robbert J. Rottier, Sílvia Gonzaga and Jorge Correia‐Pinto. Their work appears in journals such as PLoS ONE, Diabetes and World Journal of Gastroenterology.

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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