Edward Laane

3.2k citations
27 papers · 788 · h-index 14

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 7
    • Acute Myeloid Leukemia Research 3
    • Retinoids in leukemia and cellular processes 3
    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 2

Edward Laane

25 papers receiving 768 citations

Peers

Edward Laane
Comparison fields: 5 of 74
  • Hematology 177
  • Genetics 95
  • Physiology 41
  • Epidemiology 181
  • Pathology and Forensic Medicine 94
Replace William H. Towns with:
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Citations per field
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Citations per year

Countries citing papers authored by Edward Laane

Since Specialization
Citations

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

Fields of papers citing papers by Edward Laane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009183
2 200593
3 200956
4 201751
5 200750
6 200550
7
The effect of allogeneic stem cell transplantation on outcome in younger acute myeloid leukemia patients with minimal residual disease detected by flow cytometry at the end of post-remission chemotherapy.
200644
8 201242
9 201732
10 201331
11 201131
12 201527
13 201520
14 201418
15 200713
16 201711
17 20229
18 20148
19 20236
20 20215

About Edward Laane

Edward Laane is a scholar working on Hematology, Molecular Biology, Oncology, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 27 papers that have together received 788 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Acute Lymphoblastic Leukemia research (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Retinoids in leukemia and cellular processes (3 papers), Acute Myeloid Leukemia Research (3 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Hematology (177 citations), Genetics (95 citations), Physiology (41 citations), Epidemiology (181 citations) and Pathology and Forensic Medicine (94 citations). Edward Laane has collaborated with scholars based in Estonia, Sweden and United Kingdom. Frequent co-authors include Dan Grandér, Boris Zhivotovsky, Theocharis Panaretakis, Mats Heyman, Joanna Mazur, Katja Pokrovskaja Tamm, Anna Porwit, Eva Buentke, Martin Corcoran and Pedram Kharaziha. Their work appears in journals such as The Oncologist, Scandinavian Journal of Immunology, Cancers, Cell Death and Differentiation and British Journal of Haematology.

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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