Shanshan Duan

1.1k citations
27 papers · 801 indexed · h-index 11
Topics
Ubiquitin and proteasome pathways (8 papers)Parasites and Host Interactions (5 papers)Single-cell and spatial transcriptomics (4 papers)

In The Last Decade

Shanshan Duan

24 papers receiving 796 citations

Peers

Shanshan Duan
Comparison fields: 5 of 94
  • Molecular Biology 607
  • Oncology 207
  • Epidemiology 104
  • Cancer Research 101
  • Immunology 97
Replace Ya‐Chien Yang with:
Ya‐Chien Yang Taiwan
Chaofeng Tu China
Huilin Jin China
Patrick Gonzalez France
Claudia H.D. Metz Germany
Zhenhao Qi United States
Jiun‐Sheng Chen United States
Yu Cui China
Georgia Zoumpoulidou United Kingdom
А. С. Цимоха Russia
Shanshan Duan relative to Ya‐Chien Yang Taiwan Ya‐Chien Yang's profile →
Citations per field
00.5×2.8×
Ya‐Chien Yang · 1×
Citations per year

Countries citing papers authored by Shanshan Duan

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Duan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Duan

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Duan. A scholar is included among the top collaborators of Shanshan Duan 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 Duan. Shanshan Duan 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 3
3 1
4 0
5 9
6 0
7 1
8 10
9 9
10 7
11 5
12 24
13 0
14 33
15 11
16 63
17 100
18
Research on the Internal Mechanism and Interaction Relationship of the Simultaneous Development of the Development on Industrialization,Urbanization and Agricultural Modernization in China: Based on Collaboration and Mechanism Design Theory
3
19 173
20 25

About Shanshan Duan

Shanshan Duan is a scholar working on Parasitology, Cancer Research and Molecular Biology, having authored 27 papers that have together received 801 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Parasites and Host Interactions (5 papers) and Single-cell and spatial transcriptomics (4 papers). The work is most often cited by research in Molecular Biology (607 citations), Oncology (207 citations) and Cancer Research (101 citations). Shanshan Duan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Michele Pagano, Shafi Kuchay, Mario Rossi, Yinon Ben‐Neriah, Jeffrey R. Skaar, Alfredo Toschi, Naama Kanarek, Margaret A. Shipp, Cinzia Martinengo and Paola Francia di Celle. Their work appears in journals such as Nature, The EMBO Journal and Molecular Cell.

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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