Ming Lin

713 citations
9 papers · 37 · h-index 4

Impact in

    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Chronic Myeloid Leukemia Treatments 7
    • Acute Myeloid Leukemia Research 1
    • Chronic Lymphocytic Leukemia Research 5
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2

Ming Lin

8 papers receiving 37 citations

Peers

Ming Lin
Comparison fields: 5 of 18
  • Hematology 18
  • Genetics 12
  • Urology 6
  • Rheumatology 5
  • Immunology 4
Replace Anuela Kondi with:
Anuela Kondi France
Rita Paschal United States
Maria Creignou Sweden
Oana Stanca Romania
Maurizio Cantini Italy
T. Karrison United States
Charlotte Kevorkian‐Verguet France
Michael Deininger United States
R. Baggio France
Mohammed Bejaoui Tunisia
Ming Lin relative to Anuela Kondi France Anuela Kondi's profile →
Citations per field
00.5×
Anuela Kondi · 1×
Citations per year

Countries citing papers authored by Ming Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ming Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201314
2 20246
3 20225
4 20234
5 20203
6 20163
7 20221
8 20221
9 20240

About Ming Lin

Ming Lin is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Urology and Pulmonary and Respiratory Medicine, having authored 9 papers that have together received 37 indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (7 papers), Chronic Lymphocytic Leukemia Research (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Acute Lymphoblastic Leukemia research (2 papers), Acute Myeloid Leukemia Research (1 paper), Cancer Genomics and Diagnostics (1 paper), Lung Cancer Treatments and Mutations (1 paper) and Urinary Bladder and Prostate Research (1 paper). The work is most often cited by research in Hematology (18 citations), Genetics (12 citations), Urology (6 citations), Rheumatology (5 citations) and Immunology (4 citations). Ming Lin has collaborated with scholars based in Australia, China and Switzerland. Frequent co-authors include Paul Wang, Naranie Shanmuganathan, Ke Xu, Ju Huang, Rong Lu, Andreas Schreiber, David M. Ross, Ilaria S. Pagani, Jian Huang and Hai Huang. Their work appears in journals such as Blood, International Journal of Urology, Journal of Molecular Diagnostics and African Journal of Traditional Complementary and Alternative Medicines.

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.

Explore authors with similar magnitude of impact