Terri Ning

481 citations
9 papers · 365 · h-index 6

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • IL-33, ST2, and ILC Pathways
    • Immunotherapy and Immune Responses
    • Diabetes and associated disorders
    • Inflammatory Bowel Disease

Papers in

    • Pancreatic function and diabetes 5
    • Diabetes and associated disorders 5

Terri Ning

9 papers receiving 361 citations

Peers

Terri Ning
Comparison fields: 5 of 61
  • Immunology 234
  • Genetics 109
  • Endocrinology, Diabetes and Metabolism 37
  • Surgery 73
  • Gastroenterology 8
Replace Ruihua Peng with:
Ruihua Peng United States
Anne Costanzo United States
Ashley E. Ciecko United States
Ophélie Rouxel France
Jan Dobeš Czechia
Hugo Barcenilla Sweden
Alessia Butera Italy
Charles J. Kroger United States
Sarah Müller Germany
Pearl Bakhru United States
Terri Ning relative to Ruihua Peng United States Ruihua Peng's profile →
Citations per field
00.5×2.7×
Ruihua Peng · 1×
Citations per year

Countries citing papers authored by Terri Ning

Since Specialization
Citations

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

Fields of papers citing papers by Terri Ning

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Terri Ning, 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 Terri Ning Line = papers co-authored together Terri Ning links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2002178
2 200966
3 200550
4 200035
5 199516
6 20078
7 20145
8 20145
9 20142

About Terri Ning

Terri Ning is a scholar working on Surgery, Genetics, Immunology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 9 papers that have together received 365 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (5 papers), Diabetes and associated disorders (5 papers), Immune Cell Function and Interaction (4 papers), T-cell and B-cell Immunology (2 papers), Ion channel regulation and function (1 paper), Diet, Metabolism, and Disease (1 paper), Metabolism, Diabetes, and Cancer (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Immunology (234 citations), Genetics (109 citations), Endocrinology, Diabetes and Metabolism (37 citations), Surgery (73 citations) and Gastroenterology (8 citations). Terri Ning has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Philippe Poussier, Michael Julius, Diponkar Banerjee, Sheela Ramanathan, Andrew D. Paterson, Robert H. Wallis, Gary Chao, Eugene Hsieh, Kesheng Wang and Jun Chen. Their work appears in journals such as The Journal of Immunology, Diabetes, The Journal of Experimental Medicine, Genes and Immunity and Gastroenterology.

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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