Sing Sing Way

9.7k total citations · 2 hit papers
119 papers, 7.2k citations indexed

About

Sing Sing Way is a scholar working on Immunology, Epidemiology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sing Sing Way has authored 119 papers receiving a total of 7.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Immunology, 24 papers in Epidemiology and 19 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sing Sing Way's work include Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (34 papers) and Reproductive System and Pregnancy (27 papers). Sing Sing Way is often cited by papers focused on Immune Cell Function and Interaction (40 papers), T-cell and B-cell Immunology (34 papers) and Reproductive System and Pregnancy (27 papers). Sing Sing Way collaborates with scholars based in United States, United Kingdom and Australia. Sing Sing Way's co-authors include James M. Ertelt, Jared H. Rowe, Meredith M. Curtis, Lijun Xin, Jeremy M. Kinder, Tony T. Jiang, Adeline M. Hajjar, Abul K. Abbas, Michael D. Rosenblum and Christopher B. Wilson and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sing Sing Way

117 papers receiving 7.1k citations

Hit Papers

Immune mechanisms at the maternal-fetal interface: perspe... 2012 2026 2016 2021 2015 2012 100 200 300 400

Peers

Sing Sing Way
Comparison fields: 5 of 130
  • Immunology 4.3k
  • Molecular Biology 1.3k
  • Epidemiology 1.2k
  • Infectious Diseases 1.1k
  • Obstetrics and Gynecology 928
Replace Ali A. Ashkar with:
Ali A. Ashkar Canada
Charles R. Wira United States
Marije Oosting Netherlands
Jessica Quintin Netherlands
Marie‐Pierre Piccinni Italy
Jean‐Louis Mège France
Adam J. Ratner United States
Kenneth W. Beagley Australia
Christopher B. Wilson United States
Carolyn B. Coyne United States
Ali A. Ashkar Canada View profile →
Citations per field, relative to Sing Sing Way
Sing Sing Way · 1×
Citations per year, relative to Sing Sing Way
Sing Sing Way · 1×

Countries citing papers authored by Sing Sing Way

Since Specialization
Citations

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

Fields of papers citing papers by Sing Sing Way

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sing Sing Way

This figure shows the co-authorship network connecting the top 25 collaborators of Sing Sing Way. A scholar is included among the top collaborators of Sing Sing Way 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 Sing Sing Way. Sing Sing Way 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
# Work Indexed citations
1 2
2 1
3 3
4 3
5 1
6 25
7 34
8 25
9 5
10
IL-10–producing Tfh cells accumulate with age and link inflammation with age-related immune suppression
1
11 49
12 165
13 78
14 1
15 21
16 49
17 59
18 42
19 50
20 63

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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