Jacob Turner

2.2k citations
19 papers · 617 · h-index 11

Impact in

    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Cancer-related molecular mechanisms research

Papers in

    • Bioinformatics and Genomic Networks 3
    • Gene expression and cancer classification 3
    • RNA Research and Splicing 2
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3

Jacob Turner

19 papers receiving 609 citations

Peers

Jacob Turner
Comparison fields: 5 of 74
  • Immunology 201
  • Cancer Research 110
  • Infectious Diseases 104
  • Molecular Biology 321
  • Oncology 123
Replace Suxia Liu with:
Suxia Liu China
Tomoko Yoshioka Japan
Eleanor Herbert United Kingdom
Antoine Désilets Canada
Ankur Sharma United States
Lauren Dare United States
Russell A. Hammond United States
Judith Lehmann‐Koch Germany
Anke Wienecke-Baldacchino Luxembourg
Martina Di Modica Italy
Jacob Turner relative to Suxia Liu China Suxia Liu's profile →
Citations per field
00.5×3.2×
Suxia Liu · 1×
Citations per year

Countries citing papers authored by Jacob Turner

Since Specialization
Citations

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

Fields of papers citing papers by Jacob Turner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jacob Turner, 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 Jacob Turner Line = papers co-authored together Jacob Turner links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2007162
2 201775
3 201675
4 201765
5 201344
6 201837
7 201636
8 201929
9 201723
10 201920
11 201717
12 201610
13 20158
14 20207
15 20244
16 20172
17 20211
18 20181
19 20171

About Jacob Turner

Jacob Turner is a scholar working on Molecular Biology, Immunology, Oncology, Infectious Diseases and Surgery, having authored 19 papers that have together received 617 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Bioinformatics and Genomic Networks (3 papers), Gene expression and cancer classification (3 papers), Tuberculosis Research and Epidemiology (2 papers), RNA Research and Splicing (2 papers), Asthma and respiratory diseases (2 papers) and Mycobacterium research and diagnosis (2 papers). The work is most often cited by research in Immunology (201 citations), Cancer Research (110 citations), Infectious Diseases (104 citations), Molecular Biology (321 citations) and Oncology (123 citations). Jacob Turner has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Derek Blankenship, Shengwen Calvin Li, Jie Zhou, Xiaoming Ju, Robert G. Russell, Susette C. Mueller, William S. Chen, Richard G. Pestell, Chenguang Wang and John Ojeifo. Their work appears in journals such as Bioinformatics, Clinical & Experimental Allergy, Molecular Therapy, Proceedings of the National Academy of Sciences and Journal of Inherited Metabolic Disease.

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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