Gang Dong

4.0k citations
58 papers · 3.1k indexed · 1 hit paper · h-index 24
Topics
Trypanosoma species research and implications (16 papers)Microtubule and mitosis dynamics (9 papers)Cellular transport and secretion (9 papers)

In The Last Decade

Gang Dong

54 papers receiving 3.0k citations

Hit Papers

Existence of slow-cycling limbal epithelial basal cells t...198920262001201319892505007501000

Peers

Gang Dong
Comparison fields: 5 of 130
  • Molecular Biology 1.1k
  • Radiology, Nuclear Medicine and Imaging 971
  • Public Health, Environmental and Occupational Health 780
  • Cell Biology 722
  • Dermatology 330
Replace Matthias Mörgelin with:
Matthias Mörgelin Sweden
Adolf Ellinger Austria
P. H. K. Jap Netherlands
Thomas M. Magin Germany
Aat A. Mulder Netherlands
Colin Jamora United States
E Schmid Germany
Adrien Kissenpfennig United Kingdom
Ulf Anderegg Germany
Klaus Ebnet Germany
Gang Dong relative to Matthias Mörgelin Sweden Matthias Mörgelin's profile →
Citations per field
00.5×8.9×
Matthias Mörgelin · 1×
Citations per year

Countries citing papers authored by Gang Dong

Since Specialization
Citations

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

Fields of papers citing papers by Gang Dong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gang Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Gang Dong. A scholar is included among the top collaborators of Gang Dong 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 Gang Dong. Gang Dong 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 0
3 1
4 2
5 41
6 33
7 4
8 13
9 10
10 22
11 4
12 6
13 33
14 13
15 48
16 30
17 232
18 79
19 111
20 59

About Gang Dong

Gang Dong is a scholar working on Cell Biology, Aging and Physiology, having authored 58 papers that have together received 3.1k indexed citations. Recurring topics across this work include Trypanosoma species research and implications (16 papers), Microtubule and mitosis dynamics (9 papers) and Cellular transport and secretion (9 papers). The work is most often cited by research in Cell Biology (722 citations), Radiology, Nuclear Medicine and Imaging (971 citations) and Dermatology (330 citations). Gang Dong has collaborated with scholars based in Austria, United States and China. Frequent co-authors include Robert M. Lavker, George Cotsarelis, Tung‐Tien Sun, Peishu Zheng, Karin M. Reinisch, Peter Novick, Pamela A. Wearsch, Peter Cresswell, David R. Peaper and Alex H. Hutagalung. Their work appears in journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

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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