Jason Valent

2.5k citations
103 papers · 945 · h-index 18

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
  • Genetics top 5%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Multiple Myeloma Research and Treatments 58
    • Chronic Myeloid Leukemia Treatments 12
    • Amyloidosis: Diagnosis, Treatment, Outcomes 37
    • Protein Degradation and Inhibitors 19

Jason Valent

94 papers receiving 933 citations

Peers

Jason Valent
Comparison fields: 5 of 60
  • Hematology 510
  • Genetics 220
  • Nephrology 115
  • Oncology 408
  • Molecular Biology 660
Replace Cindy Varga with:
Cindy Varga United States
Divaya Bhutani United States
Mauricio Ocqueteau Chile
Anand P. Jillella United States
Anaadriana Zakarija United States
Meliha Nalçacı Türkiye
Zdeněk Adam Czechia
Pascal Lenain France
Mario Annunziata Italy
Anne Marie Stoppa France
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Citations per field
00.5×1.5×2.1×
Cindy Varga · 1×
Citations per year

Countries citing papers authored by Jason Valent

Since Specialization
Citations

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

Fields of papers citing papers by Jason Valent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202080
2 201671
3 202170
4 201850
5 201942
6 202340
7 201839
8 202125
9 202222
10 202022
11 201321
12 201520
13 201820
14 201520
15 201520
16 202319
17 202318
18 201718
19 202316
20 201016

About Jason Valent

Jason Valent is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Epidemiology, having authored 103 papers that have together received 945 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (58 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (37 papers), Protein Degradation and Inhibitors (19 papers), Chronic Lymphocytic Leukemia Research (18 papers), Peptidase Inhibition and Analysis (15 papers), Cancer Treatment and Pharmacology (13 papers), Chronic Myeloid Leukemia Treatments (12 papers) and Neuroendocrine Tumor Research Advances (11 papers). The work is most often cited by research in Hematology (510 citations), Genetics (220 citations), Nephrology (115 citations), Oncology (408 citations) and Molecular Biology (660 citations). Jason Valent has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Christy Samaras, Mazen Hanna, Brett W. Sperry, Faiz Anwer, Beth Faiman, Jack Khouri, Asad Ikram, Jeffrey A. Zonder, Michael N. Vranian and Rajshekhar Chakraborty. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Transplantation and Cellular Therapy and Journal of the American College of Cardiology.

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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