John Nicoll

5.8k citations
30 papers · 3.2k indexed · 2 hit papers · h-index 18

John Nicoll

30 papers receiving 3.1k citations

Hit Papers

Sustained expression of microRNA-155 in hematopoietic ste...55720062026201220194008001.2k

Peers

John Nicoll
Comparison fields: 5 of 90
  • Hematology 1.9k
  • Genetics 1.4k
  • Rheumatology 919
  • Cancer Research 535
  • Pathology and Forensic Medicine 338
Replace Ronald Paquette with:
Ronald Paquette United States
Philipp Erben Germany
Gerald M. Segal United States
Virginie Penard‐Lacronique France
Stephen T. Oh United States
Michael H. Tomasson United States
Lydia Roy France
A Strife United States
Hideki Makishima United States
Charles Chuah Singapore
John Nicoll relative to Ronald Paquette United States Ronald Paquette's profile →
Citations per field
00.5×1.5×
Ronald Paquette · 1×
Citations per year

Countries citing papers authored by John Nicoll

Since Specialization
Citations

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

Fields of papers citing papers by John Nicoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201128
2 2011106
3 20092
4 20093
5
Sustained expression of microRNA-155 in hematopoietic stem cells causes a myeloproliferative disorderbreakdown →
2008557
6 2008181
7 2007288
8
Dasatinib in Imatinib-Resistant Philadelphia Chromosome–Positive Leukemiasbreakdown →
20061288
9 20066
10 20068
11 20068
12 200527
13 20059
14 200512
15 20055
16 200442
17 199973
18 199928
19 199855
20 199688

About John Nicoll

John Nicoll is a scholar working on Hematology, Genetics, Rheumatology, Pathology and Forensic Medicine and Immunology, having authored 30 papers that have together received 3.2k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (21 papers), Chronic Lymphocytic Leukemia Research (17 papers), Eosinophilic Disorders and Syndromes (10 papers), Acute Myeloid Leukemia Research (4 papers), Whipple's Disease and Interleukins (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Click Chemistry and Applications (2 papers) and Mast cells and histamine (2 papers). The work is most often cited by research in Hematology (1.9k citations), Genetics (1.4k citations), Rheumatology (919 citations), Cancer Research (535 citations) and Pathology and Forensic Medicine (338 citations). John Nicoll has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Charles L. Sawyers, Ronald Paquette, Neil P. Shah, Eric Bleickardt, Claude Nicaise, Moshe Talpaz, Hagop M. Kantarjian, Arthur P. DeCillis, Fei Huang and Nicholas J. Donato. Their work appears in journals such as Blood, The Journal of Immunology, Journal of Clinical Oncology, Cancer Cell and The Journal of Cell Biology.

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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