I‐Ju Chen

1.1k citations
39 papers · 861 · h-index 17

Impact in

  • Immunology top 10%
    • Galectins and Cancer Biology
    • Immune Cell Function and Interaction
    • Glycosylation and Glycoproteins Research
    • Gut microbiota and health
    • RNA Interference and Gene Delivery

Papers in

I‐Ju Chen

35 papers receiving 848 citations

Peers

I‐Ju Chen
Comparison fields: 5 of 99
  • Immunology 244
  • Molecular Biology 479
  • Biomaterials 75
  • Radiology, Nuclear Medicine and Imaging 104
  • Oncology 122
Replace Magdalena Klink with:
Magdalena Klink Poland
Yiwei Wang China
Pantea Izadi Iran
Fei You United States
Mohammad Zahid Kamran India
Joohee Jung South Korea
Ruth Hunt United Kingdom
John F. Woolley United Kingdom
Patrick Dumont France
Ahmed Atef Ibrahim Egypt
I‐Ju Chen relative to Magdalena Klink Poland Magdalena Klink's profile →
Citations per field
00.5×3.1×
Magdalena Klink · 1×
Citations per year

Countries citing papers authored by I‐Ju Chen

Since Specialization
Citations

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

Fields of papers citing papers by I‐Ju Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007118
2 200791
3 201874
4 200756
5 201953
6 201944
7 201638
8 201737
9 201232
10 201928
11 201927
12 201823
13 202123
14 202021
15 201620
16 201619
17 202218
18 202216
19 200716
20 202116

About I‐Ju Chen

I‐Ju Chen is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Biomaterials and Language and Linguistics, having authored 39 papers that have together received 861 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (13 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Nanoparticle-Based Drug Delivery (6 papers), Galectins and Cancer Biology (5 papers), EFL/ESL Teaching and Learning (4 papers), Protein purification and stability (3 papers), Cancer Research and Treatments (3 papers) and Second Language Acquisition and Learning (2 papers). The work is most often cited by research in Immunology (244 citations), Molecular Biology (479 citations), Biomaterials (75 citations), Radiology, Nuclear Medicine and Imaging (104 citations) and Oncology (122 citations). I‐Ju Chen has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Michael A. Demetriou, Hung-Lin Chen, Yi‐An Cheng, Yun‐Chi Lu, Kai-Wen Cheng, Tian‐Lu Cheng, Wen-Wei Lin, Yuan-Chin Hsieh, Tahseen Mozaffar and Judy Pawling. Their work appears in journals such as Cancer Research, Pharmacological Research, Analytical Chemistry, Journal of Nanobiotechnology and Journal of Biological Chemistry.

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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