Shanshan Zhan

1.7k citations
31 papers · 1.4k indexed · h-index 17
Topics
Alzheimer's disease research and treatments (9 papers)Liver physiology and pathology (4 papers)Metabolism, Diabetes, and Cancer (3 papers)

In The Last Decade

Shanshan Zhan

30 papers receiving 1.4k citations

Peers

Shanshan Zhan
Comparison fields: 5 of 108
  • Physiology 622
  • Molecular Biology 427
  • Neurology 388
  • Epidemiology 246
  • Hepatology 164
Replace Misaki Matsumoto with:
Misaki Matsumoto Japan
Jamie Soto United States
Yuling Sun China
Tal Nuriel United States
Francesca‐Fang Liao United States
Wojciech Hilgier Poland
Ernesto R. Gonzales United States
Anna A. Zmijewska United States
Noriaki Kinoshita Japan
Vincenzo Sorrentino Switzerland
Shanshan Zhan relative to Misaki Matsumoto Japan Misaki Matsumoto's profile →
Citations per field
00.5×5.8×
Misaki Matsumoto · 1×
Citations per year

Countries citing papers authored by Shanshan Zhan

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Zhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Zhan

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Zhan. A scholar is included among the top collaborators of Shanshan Zhan 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 Shanshan Zhan. Shanshan Zhan 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 0
2 3
3 3
4 1
5 21
6 28
7 42
8
An Innovative Remote Testing System for GNSS Receiver Based on IF Sampled Signal Library of Various Scenarios
1
9 24
10 1
11 235
12 240
13 23
14 58
15 58
16 61
17 250
18 39
19 9
20 92

About Shanshan Zhan

Shanshan Zhan is a scholar working on Hepatology, Immunology and Allergy and Physiology, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Liver physiology and pathology (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Neurology (388 citations), Biological Psychiatry (110 citations) and Physiology (622 citations). Shanshan Zhan has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Piet Eikelenboom, Willem A. van Gool, David Allsop, Konrad Beyreuther, H. Schmitt, Lars Nilsson, Jian Wu, Lorene M. Leiter, Catherine M. Cahill and Scott L. Friedman. Their work appears in journals such as Journal of Biological Chemistry, Gastroenterology and Hepatology.

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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