Jenny P.‐Y. Ting

14.7k citations
126 papers · 10.3k indexed · 4 hit papers · h-index 54
Topics
interferon and immune responses (22 papers)Inflammasome and immune disorders (22 papers)Immune Cell Function and Interaction (21 papers)

In The Last Decade

Jenny P.‐Y. Ting

123 papers receiving 10.1k citations

Hit Papers

TNFα promotes proliferation of oligodendrocyte progenitor...20012026200920172001200620082022250500750

Peers

Jenny P.‐Y. Ting
Comparison fields: 5 of 131
  • Molecular Biology 4.7k
  • Immunology 4.3k
  • Oncology 1.5k
  • Neurology 1.1k
  • Cancer Research 911
Replace Florence M. Hofman with:
Florence M. Hofman United States
Toshiyuki Takai Japan
Keisuke Kuida United States
Atsushi Kumanogoh Japan
Christine D. Dijkstra Netherlands
Hugh Rosen United States
Klaus Pfizenmaier Germany
Scott S. Zamvil United States
Kohsuke Takeda Japan
Douglas Pat Cerretti United States
Jenny P.‐Y. Ting relative to Florence M. Hofman United States Florence M. Hofman's profile →
Citations per field
00.5×10×14×
Florence M. Hofman · 1×
Citations per year

Countries citing papers authored by Jenny P.‐Y. Ting

Since Specialization
Citations

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

Fields of papers citing papers by Jenny P.‐Y. Ting

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jenny P.‐Y. Ting. 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 Jenny P.‐Y. Ting. The network helps show where Jenny P.‐Y. Ting may publish in the future.

Co-authorship network of co-authors of Jenny P.‐Y. Ting

This figure shows the co-authorship network connecting the top 25 collaborators of Jenny P.‐Y. Ting. A scholar is included among the top collaborators of Jenny P.‐Y. Ting 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 Jenny P.‐Y. Ting. Jenny P.‐Y. Ting 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 14
2 19
3 9
4 10
5 40
6 3
7 41
8 85
9 101
10 7
11 51
12 39
13 213
14 21
15 48
16 466
17 28
18 164
19 117
20 77

About Jenny P.‐Y. Ting

Jenny P.‐Y. Ting is a scholar working on Immunology, Developmental Neuroscience and Neurology, having authored 126 papers that have together received 10.3k indexed citations. Recurring topics across this work include interferon and immune responses (22 papers), Inflammasome and immune disorders (22 papers) and Immune Cell Function and Interaction (21 papers). The work is most often cited by research in Immunology (4.3k citations), Developmental Neuroscience (722 citations) and Neurology (1.1k citations). Jenny P.‐Y. Ting has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Glenn K. Matsushima, Casey M. Clements, Kinuko Suzuki, Heather A. Arnett, Brian J. Conti, Tak W. Mak, Richard McNally, Joseph A. Duncan, Dan T. Bergstralh and Jeffrey P. MacKeigan. Their work appears in journals such as Nature, Science and 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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