Ting Jia

3.3k citations
29 papers · 2.5k indexed · 2 hit papers · h-index 11
Topics
Immune Response and Inflammation (5 papers)Immunotherapy and Immune Responses (4 papers)T-cell and B-cell Immunology (4 papers)

In The Last Decade

Ting Jia

28 papers receiving 2.5k citations

Hit Papers

Monocyte-Mediated Defense Against Microbial Pathogens200820262014202020082008250500750

Peers

Ting Jia
Comparison fields: 5 of 111
  • Immunology 1.1k
  • Molecular Biology 785
  • Infectious Diseases 434
  • Epidemiology 348
  • Neurology 288
Replace W. Conrad Liles with:
W. Conrad Liles United States
Gholamhossein Hassanshahi Iran
Anshu Agrawal United States
Joanne E. Konkel United Kingdom
Jean M. Fletcher Ireland
Todd N. Eagar United States
Ikuo Tsunoda United States
Wayne A. Schroder Australia
Robert J. Snelgrove United Kingdom
Smita S. Iyer United States
Ting Jia relative to W. Conrad Liles United States W. Conrad Liles's profile →
Citations per field
00.5×1.5×2.3×
W. Conrad Liles · 1×
Citations per year

Countries citing papers authored by Ting Jia

Since Specialization
Citations

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

Fields of papers citing papers by Ting Jia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ting Jia

This figure shows the co-authorship network connecting the top 25 collaborators of Ting Jia. A scholar is included among the top collaborators of Ting Jia 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 Ting Jia. Ting Jia 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 1
3 2
4 6
5 1
6 6
7 13
8 12
9 8
10 5
11 6
12 20
13 14
14 10
15 377
16 68
17 10
18 194
19
Vancomycin-resistant enterococci exploit antibiotic-induced innate immune deficitsbreakdown →
508
20 8

About Ting Jia

Ting Jia is a scholar working on Hepatology, Immunology and Physiology, having authored 29 papers that have together received 2.5k indexed citations. Recurring topics across this work include Immune Response and Inflammation (5 papers), Immunotherapy and Immune Responses (4 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Immunology (1.1k citations), Neurology (239 citations) and Infectious Diseases (434 citations). Ting Jia has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Eric G. Pamer, Natalya V. Serbina, Tobias M. Hohl, Katharina Brandl, Ingrid M. Leiner, Bernd Schnabl, Martin Fleisher, Coralia N. Mihu, George Plitas and Ronald P. DeMatteo. Their work appears in journals such as Nature, The Journal of Experimental Medicine and Immunity.

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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