Allan Jiang

437 citations
8 papers · 145 · h-index 7

Impact in

  • Hematology top 10%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 3
    • Acute Myeloid Leukemia Research 2
    • Protein Degradation and Inhibitors 3
    • PI3K/AKT/mTOR signaling in cancer 2

Allan Jiang

8 papers receiving 143 citations

Peers

Allan Jiang
Comparison fields: 5 of 31
  • Hematology 78
  • Genetics 52
  • Pathology and Forensic Medicine 41
  • Oncology 33
  • Immunology 22
Replace Davide Rapezzi with:
Davide Rapezzi Italy
Carmelo Laganà Italy
Qiu-Sha Huang China
Amy J. M. McNaughton Canada
Maria Pina Simula Italy
Leire Burgos Spain
Mikko Myllymäki Finland
Federica Mottadelli Italy
Patrick Stelmach Germany
M. Elizabeth McCready Canada
Allan Jiang relative to Davide Rapezzi Italy Davide Rapezzi's profile →
Citations per field
00.5×
Davide Rapezzi · 1×
Citations per year

Countries citing papers authored by Allan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Allan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Allan Jiang, 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 Allan Jiang Line = papers co-authored together Allan Jiang links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 200932
2 201031
3 201722
4 200920
5 201017
6 201212
7 201110
8 20081

About Allan Jiang

Allan Jiang is a scholar working on Hematology, Molecular Biology, Genetics, Pathology and Forensic Medicine and Oncology, having authored 8 papers that have together received 145 indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Acute Myeloid Leukemia Research (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Vascular Tumors and Angiosarcomas (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Hematology (78 citations), Genetics (52 citations), Pathology and Forensic Medicine (41 citations), Oncology (33 citations) and Immunology (22 citations). Allan Jiang has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Hong Chang, Connie Qi, Donna Reece, Young Trieu, Christine Chen, Suzanne Kamel‐Reid, John N. Constantino, Sabine E. Mous, Joseph Brandwein and Arpana Agrawal. Their work appears in journals such as Leukemia Research, American Journal of Clinical Pathology, Human Pathology, Journal of Neurodevelopmental Disorders and Blood.

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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