N C Lea

610 citations
14 papers · 279 · h-index 6

Impact in

  • Hematology top 10%
    • Acute Myeloid Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

N C Lea

14 papers receiving 272 citations

Peers

N C Lea
Comparison fields: 5 of 48
  • Hematology 83
  • Genetics 57
  • Immunology 92
  • Oncology 88
  • Molecular Biology 134
Replace Cristina Ariola with:
Cristina Ariola Italy
Romanos Sklavenitis‐Pistofidis United States
MT Petrucci Italy
Patricia Kropf United States
Paula de Melo Campos Brazil
Giulia Biancon United States
Janet Briel United States
Gurveen Saberwal United States
Niklas Landberg Sweden
Megan Hatlen United States
N C Lea relative to Cristina Ariola Italy Cristina Ariola's profile →
Citations per field
00.5×
Cristina Ariola · 1×
Citations per year

Countries citing papers authored by N C Lea

Since Specialization
Citations

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

Fields of papers citing papers by N C Lea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N C Lea. 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 N C Lea. The network helps show where N C Lea may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 200964
2 201360
3 200155
4 199949
5 201021
6 201519
7
AML-derived immunomodulatory factor(s) inhibit T cell cytokine secretion and proliferation via inhibition of NF-ATc activation and failure to upregulate C-MYC.
19993
8 20102
9 20111
10 20091
11
Prevalence of the activating JAK2 tyrosine kinase mutation in chronic porto-splenomesenteric venous thrombosis
20061
12 20171
13 20071
14
Effect of leukemia cell microenvironment on the differentiation of dendritic cells from normal monocytes: A phenotypic and functional analysis.
19991

About N C Lea

N C Lea is a scholar working on Molecular Biology, Hematology, Genetics, Oncology and Immunology, having authored 14 papers that have together received 279 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Immunotherapy and Immune Responses (3 papers), Chronic Myeloid Leukemia Treatments (2 papers), Cancer-related Molecular Pathways (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Organ Transplantation Techniques and Outcomes (1 paper) and Renal Diseases and Glomerulopathies (1 paper). The work is most often cited by research in Hematology (83 citations), Genetics (57 citations), Immunology (92 citations), Oncology (88 citations) and Molecular Biology (134 citations). N C Lea has collaborated with scholars based in United Kingdom, Japan and United States. Frequent co-authors include Farzin Farzaneh, G J Mufti, N. Shaun B. Thomas, Eric W.‐F. Lam, Terry J. Gaymes, Natalie A. Twine, Sydney Shall, Lolita Banerji, Janet Glassford and G. G. B. Klaus. Their work appears in journals such as Leukemia Research, Haematologica, Blood, Alimentary Pharmacology & Therapeutics and Leukemia.

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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