Ben Ponvilawan

912 citations
79 papers · 486 · h-index 13

Impact in

  • Nephrology top 10%
    • Parathyroid Disorders and Treatments
    • Gout, Hyperuricemia, Uric Acid
  • Hematology top 10%
    • Acute Myeloid Leukemia Research

Papers in

    • Cancer Immunotherapy and Biomarkers 5
    • Acute Myeloid Leukemia Research 7
    • Chronic Myeloid Leukemia Treatments 3

Ben Ponvilawan

65 papers receiving 480 citations

Peers

Ben Ponvilawan
Comparison fields: 5 of 65
  • Nephrology 53
  • Hematology 67
  • Hepatology 32
  • Dermatology 29
  • Genetics 33
Replace Ramazan Güneşaçar with:
Ramazan Güneşaçar Türkiye
Kunihiko Tomoda Japan
Luís Inês Portugal
Beáta Dérfalvi Canada
Larissa Lisnevskaia Canada
Antónia Szántó Hungary
Mira Merashli United Kingdom
Sladjana Andrejević Serbia
M Nakano Japan
Anna Broder United States
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Citations per field
00.5×10×15×19×
Ramazan Güneşaçar · 1×
Citations per year

Countries citing papers authored by Ben Ponvilawan

Since Specialization
Citations

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

Fields of papers citing papers by Ben Ponvilawan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201925
2 202325
3 202022
4 202221
5 202020
6 201918
7 202217
8 202416
9 202316
10 202415
11 202014
12 202012
13 202112
14 201912
15 202212
16 202112
17 202311
18 202111
19 202211
20 202311

About Ben Ponvilawan

Ben Ponvilawan is a scholar working on Oncology, Hematology, Pathology and Forensic Medicine, Genetics and Molecular Biology, having authored 79 papers that have together received 486 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (7 papers), Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Treatments and Mutations (5 papers), Vitamin D Research Studies (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Cancer Mechanisms and Therapy (3 papers) and Chronic Myeloid Leukemia Treatments (3 papers). The work is most often cited by research in Nephrology (53 citations), Hematology (67 citations), Hepatology (32 citations), Dermatology (29 citations) and Genetics (33 citations). Ben Ponvilawan has collaborated with scholars based in United States, Thailand and Germany. Frequent co-authors include Nipith Charoenngam, Patompong Ungprasert, Thanitsara Rittiphairoj, Aunchalee Jaroenlapnopparat, Phuuwadith Wattanachayakul, Janakiraman Subramanian, Weerapat Owattanapanich, Abdul Wali Khan, Claudie Roy and Florian Kuchenbauer. Their work appears in journals such as Blood, Journal of Clinical Oncology, Frontiers in Oncology, Leukemia and Endocrine Practice.

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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