Daniel Soong

27 papers receiving 2.1k citations

Daniel Soong's Hit Papers

CCL2-induced chemokine cascade promotes breast cancer metastasis by enhancing retention of metastasis-associated macrophages 2015 · 519 citations
5190+3+7Years since publication100200300400500

Peers

Daniel Soong
Comparison fields: 5 of 110
  • Immunology 745
  • Developmental Neuroscience 104
  • Neurology 212
  • Oncology 466
  • Cell Biology 302
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Frank Kuhnert United States
Thomas Mathivet France
Peter Pytel United States
Haishan Lin China
Katrin Busch Germany
Stephen Meek United Kingdom
Lieve Umans Belgium
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Citations per year

Countries citing papers authored by Daniel Soong

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Soong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Soong, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Soong Line = papers co-authored together Daniel Soong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
CCL2-induced chemokine cascade promotes breast cancer metastasis by enhancing retention of metastasis-associated macrophages
Hit paper breakdown →
2015519
2
Vascular Smooth Muscle Cell Calcification Is Mediated by Regulated Exosome Secretion
Hit paper breakdown →
2015411
3 2019238
4 2015156
5 2003141
6 201497
7 201389
8 202182
9 201264
10 201355
11 201852
12 201934
13 202128
14 201424
15 202217
16 201914
17 201613
18 201212
19 201511
20 201610

About Daniel Soong

Daniel Soong is a scholar working on Molecular Biology, Immunology, Oncology, Cell Biology and Developmental Neuroscience, having authored 27 papers that have together received 2.1k indexed citations. Recurring topics across this work include Immune cells in cancer (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Cellular Mechanics and Interactions (3 papers), Genetic Neurodegenerative Diseases (2 papers), Advanced Fluorescence Microscopy Techniques (2 papers), Cancer Cells and Metastasis (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Immunology (745 citations), Developmental Neuroscience (104 citations), Neurology (212 citations), Oncology (466 citations) and Cell Biology (302 citations). Daniel Soong has collaborated with scholars based in United Kingdom, United States and South Sudan. Frequent co-authors include Jeffrey W. Pollard, Jiufeng Li, Bin‐Zhi Qian, Takanori Kitamura, Gaël Sugano, Luca Cassetta, Roy Noy, Yu Kato, Graham Dunn and Catherine M. Shanahan. Their work appears in journals such as The Journal of Cell Biology, Nature Neuroscience, The Journal of Experimental Medicine, Nature Communications and Scientific Reports.

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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