Emily K. Jeng

4.3k total citations · 1 hit paper
39 papers, 2.3k citations indexed

About

Emily K. Jeng is a scholar working on Immunology, Oncology and Pathology and Forensic Medicine. According to data from OpenAlex, Emily K. Jeng has authored 39 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Immunology, 17 papers in Oncology and 6 papers in Pathology and Forensic Medicine. Recurrent topics in Emily K. Jeng's work include Immune Cell Function and Interaction (29 papers), CAR-T cell therapy research (16 papers) and T-cell and B-cell Immunology (11 papers). Emily K. Jeng is often cited by papers focused on Immune Cell Function and Interaction (29 papers), CAR-T cell therapy research (16 papers) and T-cell and B-cell Immunology (11 papers). Emily K. Jeng collaborates with scholars based in United States, China and Switzerland. Emily K. Jeng's co-authors include Hing C. Wong, Feng Jiao, Peter R. Rhode, Sarah Alter, Mariane B. Melo, Ana P. Castaño, Darrell J. Irvine, Yiran Zheng, Li Tang and Na Li and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Blood.

In The Last Decade

Emily K. Jeng

38 papers receiving 2.2k citations

Hit Papers

Enhancing T cell therapy through TCR-signaling-responsive... 2018 2026 2020 2023 2018 100 200 300 400 500

Peers

Emily K. Jeng
Comparison fields: 5 of 94
  • Immunology 1.4k
  • Oncology 941
  • Biomedical Engineering 362
  • Molecular Biology 309
  • Renewable Energy, Sustainability and the Environment 265
Replace Xiaonong Wang with:
Xiaonong Wang United Kingdom
Yanling Xiao Netherlands
Hidehiro Kishimoto Japan
Libo Zhou China
David Loughrey United States
Yasunori Ota Japan
Peng Lv China
Susan N. Christo Australia
Pallab Pradhan United States
Yiran Zheng China
Xiaonong Wang United Kingdom View profile →
Citations per field, relative to Emily K. Jeng
Emily K. Jeng · 1×
Citations per year, relative to Emily K. Jeng
Emily K. Jeng · 1×

Countries citing papers authored by Emily K. Jeng

Since Specialization
Citations

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

Fields of papers citing papers by Emily K. Jeng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily K. Jeng. 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 Emily K. Jeng. The network helps show where Emily K. Jeng may publish in the future.

Co-authorship network of co-authors of Emily K. Jeng

This figure shows the co-authorship network connecting the top 25 collaborators of Emily K. Jeng. A scholar is included among the top collaborators of Emily K. Jeng 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 Emily K. Jeng. Emily K. Jeng 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 1
2 36
3 128
4 7
5
Enhancing T cell therapy through TCR-signaling-responsive nanoparticle drug delivery breakdown →
542
6 30
7 58
8 6
9 1
10 1
11 101
12 1
13 60
14 1
15 74
16 170
17 1
18 157
19 62
20 169

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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