Colm Keane

2.8k citations
81 papers · 2k · 1 hit paper · h-index 22

Impact in

Papers in

Colm Keane

72 papers receiving 2k citations

Colm Keane's Hit Papers

Noninvasive monitoring of diffuse large B-cell lymphoma by immunoglobulin high-throughput sequencing 2015 · 283 citations
2830+3+7Years since publication50100150200250

Peers

Colm Keane
Comparison fields: 5 of 73
  • Pathology and Forensic Medicine 858
  • Oncology 625
  • Cancer Research 205
  • Immunology 262
  • Neurology 122
Replace King L. Tan with:
King L. Tan Canada
Feifei Nan China
Dipti Talaulikar Australia
Tomohiro Aoki Canada
Allison P. Jacob United States
Katja Philippo Netherlands
Keiichiro Honma Japan
Francisca Inmaculada Camacho Spain
Evi Regitz Germany
Lorraine F. May United States
Colm Keane relative to King L. Tan Canada King L. Tan's profile →
Citations per field
00.5×1.5×2×2.4×
King L. Tan · 1×
Citations per year

Countries citing papers authored by Colm Keane

Since Specialization
Citations

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

Fields of papers citing papers by Colm Keane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Noninvasive monitoring of diffuse large B-cell lymphoma by immunoglobulin high-throughput sequencing
Hit paper breakdown →
2015283
2 2018262
3 2013115
4 2019105
5 201295
6 202088
7 201378
8 201576
9 202075
10 201671
11 201956
12 201956
13 201452
14 201946
15 201539
16 202335
17 201132
18 201926
19 201125
20 201224

About Colm Keane

Colm Keane is a scholar working on Pathology and Forensic Medicine, Oncology, Neurology, Immunology and Hematology, having authored 81 papers that have together received 2k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (47 papers), Viral-associated cancers and disorders (13 papers), Cancer Immunotherapy and Biomarkers (9 papers), CNS Lymphoma Diagnosis and Treatment (7 papers), MicroRNA in disease regulation (3 papers), Immune Cell Function and Interaction (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Acute Myeloid Leukemia Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (858 citations), Oncology (625 citations), Cancer Research (205 citations), Immunology (262 citations) and Neurology (122 citations). Colm Keane has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Maher K. Gandhi, Frank Vari, Kimberley Jones, Jamie P. Nourse, Joshua W.D. Tobin, Devinder Singh Gill, Pauline Crooks, Dipti Talaulikar, Sanjiv Jain and Clare Gould. Their work appears in journals such as Blood, British Journal of Haematology, Blood Advances, American Journal of Hematology and Hematological Oncology.

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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