J McLaughlin

1.6k citations
14 papers · 1.3k · h-index 11

Impact in

  • Hematology top 0.5%
    • Chronic Myeloid Leukemia Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 1%
    • Chronic Lymphocytic Leukemia Research
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Chronic Myeloid Leukemia Treatments 11
    • Acute Myeloid Leukemia Research 1
    • Chronic Lymphocytic Leukemia Research 8
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 2

J McLaughlin

14 papers receiving 1.3k citations

Peers

J McLaughlin
Comparison fields: 5 of 45
  • Hematology 1.1k
  • Genetics 746
  • Rheumatology 307
  • Public Health, Environmental and Occupational Health 239
  • Oncology 194
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J V Melo United Kingdom
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by J McLaughlin

Since Specialization
Citations

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

Fields of papers citing papers by J McLaughlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1990427
2 1987320
3 1989129
4 1986116
5 199571
6 199167
7 200457
8 199338
9 198630
10 199627
11 201015
12 19989
13 19946
14
The 5' non-coding region of the BCR/ABL oncogene augments its ability to stimulate the growth of immature lymphoid cells.
19912

About J McLaughlin

J McLaughlin is a scholar working on Hematology, Genetics, Molecular Biology, Oncology and Rheumatology, having authored 14 papers that have together received 1.3k indexed citations. Recurring topics across this work include Chronic Myeloid Leukemia Treatments (11 papers), Chronic Lymphocytic Leukemia Research (8 papers), Protein Degradation and Inhibitors (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Eosinophilic Disorders and Syndromes (2 papers), Acute Myeloid Leukemia Research (1 paper), Ubiquitin and proteasome pathways (1 paper) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Hematology (1.1k citations), Genetics (746 citations), Rheumatology (307 citations), Public Health, Environmental and Occupational Health (239 citations) and Oncology (194 citations). J McLaughlin has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include Owen N. Witte, Naomi Rosenberg, Michelle A. Kelliher, Anne‐Marie Mes‐Masson, George Q. Daley, Michael Paskind, Daniel Afar, Martine F. Roussel, Charles J. Sherr and Cuilin Zhang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology, Leukemia, Experimental Eye Research and Cold Spring Harbor Symposia on Quantitative 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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