David A. Lomas

34 papers receiving 2.4k citations

Peers

David A. Lomas
Comparison fields: 5 of 99
  • Cancer Research 1.0k
  • Cell Biology 735
  • Hematology 491
  • Aging 59
  • Oncology 426
Replace David A. Lomas with:
David A. Lomas United Kingdom
Colin M. House Australia
Claudio Brancolini Italy
Isabel Mérida Spain
John Easton United States
Caretha L. Creasy United States
Hendrik Gille Germany
Nick Morrice United Kingdom
François-Xavier Claret United States
Benoît Bilanges United Kingdom
David A. Lomas relative to David A. Lomas United Kingdom David A. Lomas's profile →
Citations per field
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David A. Lomas · 1×
Citations per year

Countries citing papers authored by David A. Lomas

Since Specialization
Citations

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

Fields of papers citing papers by David A. Lomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012374
2 2005284
3 1996206
4 1993166
5 2000160
6 1995136
7 2009116
8 2000114
9 1995109
10 199882
11 199381
12 200962
13 199662
14 199646
15 201145
16 199843
17 200341
18 200731
19 200329
20 201126

About David A. Lomas

David A. Lomas is a scholar working on Cancer Research, Molecular Biology, Oncology, Hematology and Cell Biology, having authored 34 papers that have together received 2.4k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (28 papers), Peptidase Inhibition and Analysis (12 papers), Blood Coagulation and Thrombosis Mechanisms (9 papers), Signaling Pathways in Disease (8 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Insect Resistance and Genetics (4 papers), Iron Metabolism and Disorders (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers). The work is most often cited by research in Cancer Research (1.0k citations), Cell Biology (735 citations), Hematology (491 citations), Aging (59 citations) and Oncology (426 citations). David A. Lomas has collaborated with scholars based in United Kingdom, United States and Spain. Frequent co-authors include Robin W. Carrell, Elena Miranda, Damian C. Crowther, Peter R. Elliott, Stefan J. Marciniak, Benoit D. Roussel, Wun‐Shaing Wayne Chang, Timothy R. Dafforn, Antonina J. Kruppa and Jan Pieter Abrahams. Their work appears in journals such as Journal of Biological Chemistry, Human Mutation, American Journal of Physiology-Lung Cellular and Molecular Physiology, European Journal of Human Genetics and Annals of the Rheumatic Diseases.

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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