Jennifer Chen

5.8k citations
77 papers · 3.3k indexed · 2 hit papers · h-index 26

Impact in

Papers in

Jennifer Chen

73 papers receiving 3.3k citations

Hit Papers

Identification of a T follicular helper cell subset that drives anaphylactic IgE 2019 · 317 citations
3172005202620122019200400600

Peers

Jennifer Chen
Comparison fields: 5 of 149
  • Geriatrics and Gerontology 352
  • Physiology 1.0k
  • Neurology 290
  • Aging 53
  • Immunology and Allergy 177
Replace Carlo Vergani with:
Carlo Vergani Italy
Giuseppe Rengo Italy
Xiaoming Wang China
Yun Li China
Renato Lauro Italy
Luca Rossetti Italy
Li Liu China
Kimmo Kontula Finland
Bin Zhao China
Ruediger C. Braun‐Dullaeus Germany
Jennifer Chen relative to Carlo Vergani Italy Carlo Vergani's profile →
Citations per field
00.5×
Carlo Vergani · 1×
Citations per year

Countries citing papers authored by Jennifer Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20240
3 20224
4 202231
5 202049
6 202035
7 20203
8 20206
9 202018
10
Identification of a T follicular helper cell subset that drives anaphylactic IgE
Hit paper breakdown →
2019317
11
Meat and Potatoes: A Mixed 7,000-Year-Old-Diet
20191
12 201531
13 20121
14 201167
15 201014
16 20090
17
Antecedents for Entrepreneurial Propensity: Findings from Singapore, Hong Kong and Taiwan
20051
18 2005289
19 200328
20 200327

About Jennifer Chen

Jennifer Chen is a scholar working on Immunology and Allergy, Geriatrics and Gerontology, Dermatology, Aging and Hepatology, having authored 77 papers that have together received 3.3k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (4 papers), Allergic Rhinitis and Sensitization (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (3 papers), Hepatitis C virus research (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Innovations in Medical Education (3 papers). The work is most often cited by research in Geriatrics and Gerontology (352 citations), Physiology (1.0k citations), Neurology (290 citations), Aging (53 citations) and Immunology and Allergy (177 citations). Jennifer Chen has collaborated with scholars based in United States, Canada and Australia. Frequent co-authors include Francine Grodstein, Lennart Mucke, Yungui Zhou, Li Gan, Sarah Mueller-Steiner, Sai-Li Yi, Hakju Kwon, Lin‐Feng Chen, Meir J. Stampfer and Jae H. Kang. Their work appears in journals such as American Journal of Pharmaceutical Education, Journal of Cutaneous Medicine and Surgery, Science, American Journal of Health-System Pharmacy and Biophysical Journal.

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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