Ala Jo

1.6k citations
39 papers · 1.3k · h-index 17

Impact in

    • MicroRNA in disease regulation
    • Extracellular vesicles in disease
    • Advanced biosensing and bioanalysis techniques
    • Peroxisome Proliferator-Activated Receptors

Papers in

    • MicroRNA in disease regulation 6
    • Extracellular vesicles in disease 10
    • Peroxisome Proliferator-Activated Receptors 4
    • Metabolism, Diabetes, and Cancer 4
    • Metabolomics and Mass Spectrometry Studies 3

Ala Jo

37 papers receiving 1.2k citations

Peers

Ala Jo
Comparison fields: 5 of 109
  • Cancer Research 234
  • Molecular Biology 676
  • Biochemistry 57
  • Physiology 169
  • Organic Chemistry 182
Replace Christian Jüngst with:
Christian Jüngst Germany
Andreas Faust Germany
Yuqi Zhang China
Yen Nguyen United States
Isabel J. Hildebrandt United States
Ashfaq Mahmood United States
Bin Sun China
Haoran Xu China
Johannes Winkler Austria
Ala Jo relative to Christian Jüngst Germany Christian Jüngst's profile →
Citations per field
00.5×1.5×
Christian Jüngst · 1×
Citations per year

Countries citing papers authored by Ala Jo

Since Specialization
Citations

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

Fields of papers citing papers by Ala Jo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ala Jo, 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 Ala Jo Line = papers co-authored together Ala Jo 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 2015211
2 2021165
3 201496
4 201686
5 201884
6 202072
7 201956
8 201640
9 202338
10 202037
11 201532
12 201430
13 201629
14 201828
15 201428
16 202022
17 202421
18 202017
19 202017
20 201316

About Ala Jo

Ala Jo is a scholar working on Cancer Research, Molecular Biology, Biochemistry, Biomedical Engineering and Organic Chemistry, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (10 papers), MicroRNA in disease regulation (6 papers), Adipose Tissue and Metabolism (5 papers), Peroxisome Proliferator-Activated Receptors (4 papers), Metabolism, Diabetes, and Cancer (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), 3D Printing in Biomedical Research (3 papers) and Bone Tissue Engineering Materials (3 papers). The work is most often cited by research in Cancer Research (234 citations), Molecular Biology (676 citations), Biochemistry (57 citations), Physiology (169 citations) and Organic Chemistry (182 citations). Ala Jo has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Seung Bum Park, Hakho Lee, Ralph Weissleder, Youngjun Lee, Jongmin Park, Eunha Kim, Jong In Kim, Jae Bum Kim, Weiping Han and Sung Sik Choe. Their work appears in journals such as Chemical Communications, Angewandte Chemie International Edition, Advanced Science, Science Advances and Nature Nanotechnology.

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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