Jiang Jin

532 citations
20 papers · 385 indexed · h-index 8

Jiang Jin

20 papers receiving 377 citations

Peers

Jiang Jin
Comparison fields: 5 of 77
  • Dermatology 174
  • Immunology and Allergy 79
  • Pharmaceutical Science 37
  • Cell Biology 51
  • Rehabilitation 18
Replace Mingeum Jeong with:
Mingeum Jeong United States
N Sönnichsen Germany
Thomas Ternowitz Denmark
M Mattii Italy
Rachana Agrawal United States
Edward C. Gomez United States
J.F.B. Norris United Kingdom
Aleksandra Batycka-Baran Poland
Yoshiko Sakaguchi Japan
Heba M. Mashaly Egypt
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Citations per year

Countries citing papers authored by Jiang Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jiang Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20229
3 20223
4 20222
5 20206
6 20193
7 201717
8 20179
9 20163
10 201510
11 20141
12
[Evaluation of the efficacy of two successive protocols on pediatric acute lymphoblastic leukemia with E2A-PBX1 fusion gene].
20131
13 201212
14 201112
15 2010213
16
[Methylation of Id4 gene and inhibitive effect of arsenic trioxide on it in Raji cells].
20103
17 200866
18
Different Prognoses of Two Types of Subacute Cutaneous Lupus Erythematosus: A Follow-up of 40 Cases
20013
19 20004
20
[Accommodation in pseudophakic eyes with monofocal posterior chamber intraocular lens].
19963

About Jiang Jin

Jiang Jin is a scholar working on Dermatology, Ophthalmology and Oncology, having authored 20 papers that have together received 385 indexed citations. Recurring topics across this work include Acute Lymphoblastic Leukemia research (4 papers), Childhood Cancer Survivors' Quality of Life (3 papers), Urticaria and Related Conditions (2 papers), Neuroblastoma Research and Treatments (2 papers), Neutropenia and Cancer Infections (2 papers), Ophthalmology and Visual Impairment Studies (2 papers), Contact Dermatitis and Allergies (2 papers) and Oral Health Pathology and Treatment (1 paper). The work is most often cited by research in Dermatology (174 citations), Immunology and Allergy (79 citations) and Pharmaceutical Science (37 citations). Jiang Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Leopold Eckhart, Michael Mildner, Erwin Tschachler, Veronika Mlitz, Sanja Kežić, Caroline Stremnitzer, Barbara Sterniczky, Caterina Barresi, Флориан Грубер and Maria Buchberger. Their work appears in journals such as Journal of Dermatological Science, Journal of Clinical Oncology, The Journal of Pediatrics, Clinical Nutrition and Journal of Investigative Dermatology.

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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