Oliver Lomas

935 citations
32 papers · 591 · h-index 12

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
    • Peptidase Inhibition and Analysis

Papers in

Oliver Lomas

31 papers receiving 586 citations

Peers

Oliver Lomas
Comparison fields: 5 of 72
  • Hematology 173
  • Oncology 136
  • Cardiology and Cardiovascular Medicine 100
  • Genetics 43
  • Pathology and Forensic Medicine 68
Replace Ngin Cin Khai with:
Ngin Cin Khai Japan
Élisabeth Daguenet France
Carl Högberg Sweden
Christina M. Brown Australia
Derek S. Sim United States
Sheida Sharifi United States
F. Moritz Germany
Roberta A. Thomas United States
Caitlin M. Foley United States
Xiaohu Fan Canada
Oliver Lomas relative to Ngin Cin Khai Japan Ngin Cin Khai's profile →
Citations per field
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Ngin Cin Khai · 1×
Citations per year

Countries citing papers authored by Oliver Lomas

Since Specialization
Citations

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

Fields of papers citing papers by Oliver Lomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202076
2 201674
3 201952
4 201652
5 202151
6 202234
7 200930
8 202030
9 201430
10 202024
11 202120
12 202116
13 202312
14 201511
15 202311
16 20229
17 20248
18 20208
19 20248
20 20217

About Oliver Lomas

Oliver Lomas is a scholar working on Hematology, Pathology and Forensic Medicine, Cardiology and Cardiovascular Medicine, Genetics and Oncology, having authored 32 papers that have together received 591 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (7 papers), Lymphoma Diagnosis and Treatment (6 papers), Cardiac electrophysiology and arrhythmias (4 papers), Atrial Fibrillation Management and Outcomes (4 papers), Phosphodiesterase function and regulation (3 papers), Cancer Genomics and Diagnostics (3 papers), Acute Myeloid Leukemia Research (3 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Hematology (173 citations), Oncology (136 citations), Cardiology and Cardiovascular Medicine (100 citations), Genetics (43 citations) and Pathology and Forensic Medicine (68 citations). Oliver Lomas has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Irene M. Ghobrial, Sabrin Tahri, Manuela Zaccolo, Mark W. Bustoros, Salomon Manier, Christoph Schliemann, Carl Jannes Neuse, Yu Jia Shen, Pawel Swietach and Kees Jalink. Their work appears in journals such as British Journal of Haematology, Blood, QJM, Pacing and Clinical Electrophysiology and American Society of Clinical Oncology Educational Book.

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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