Run‐Zhang Shi

412 citations
21 papers · 251 indexed · h-index 9
Topics
Pituitary Gland Disorders and Treatments (3 papers)Adrenal Hormones and Disorders (3 papers)Hepatitis B Virus Studies (3 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsClinical Cancer Research

In The Last Decade

Run‐Zhang Shi

21 papers receiving 249 citations

Peers

Run‐Zhang Shi
Comparison fields: 5 of 64
  • Molecular Biology 61
  • Spectroscopy 57
  • Biomedical Engineering 56
  • Infectious Diseases 51
  • Endocrinology, Diabetes and Metabolism 47
Replace Melanie Anderson with:
Melanie Anderson United States
Lokinendi V. Rao United States
Hye In Woo South Korea
Evan Friedman United States
Shefali Patel United States
L. Zhong United States
J. van der Heijden Netherlands
Dániel Simon United Kingdom
Sang Wook Oh South Korea
Susan A. Iliff United States
Run‐Zhang Shi relative to Melanie Anderson United States Melanie Anderson's profile →
Citations per field
00.5×6.5×
Melanie Anderson · 1×
Citations per year

Countries citing papers authored by Run‐Zhang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Run‐Zhang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Run‐Zhang Shi. 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 Run‐Zhang Shi. The network helps show where Run‐Zhang Shi may publish in the future.

Co-authorship network of co-authors of Run‐Zhang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Run‐Zhang Shi. A scholar is included among the top collaborators of Run‐Zhang Shi 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 Run‐Zhang Shi. Run‐Zhang Shi 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 1
3 4
4 2
5 3
6 1
7 19
8 1
9 7
10 15
11 30
12 6
13 7
14 10
15 9
16 5
17 26
18 16
19 71
20 15

About Run‐Zhang Shi

Run‐Zhang Shi is a scholar working on Transplantation, Hepatology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 251 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (3 papers), Adrenal Hormones and Disorders (3 papers) and Hepatitis B Virus Studies (3 papers). The work is most often cited by research in Transplantation (12 citations), Spectroscopy (57 citations) and Endocrinology, Diabetes and Metabolism (47 citations). Run‐Zhang Shi has collaborated with scholars based in United States, Netherlands and Israel. Frequent co-authors include Nicholas E. Manicke, James D. Faix, Dylan Dodd, Payal M. Patel, Ruben Yiqi Luo, James L. Zehnder, Linda Nguyen, Jennifer C. Yee, Raffick A.R. Bowen and E. Scott Seeley. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Clinical Cancer Research.

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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