Mark Lawler

11.4k total citations · 1 hit paper
249 papers, 5.9k citations indexed

About

Mark Lawler is a scholar working on Oncology, Molecular Biology and Hematology. According to data from OpenAlex, Mark Lawler has authored 249 papers receiving a total of 5.9k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Oncology, 64 papers in Molecular Biology and 63 papers in Hematology. Recurrent topics in Mark Lawler's work include Hematopoietic Stem Cell Transplantation (32 papers), Economic and Financial Impacts of Cancer (26 papers) and Cancer Genomics and Diagnostics (23 papers). Mark Lawler is often cited by papers focused on Hematopoietic Stem Cell Transplantation (32 papers), Economic and Financial Impacts of Cancer (26 papers) and Cancer Genomics and Diagnostics (23 papers). Mark Lawler collaborates with scholars based in United Kingdom, Ireland and Italy. Mark Lawler's co-authors include Donal Hollywood, Peter Humphries, SR McCann, Shaun R. McCann, Antoinette S. Perry, Laure Marignol, Mary Coffey, Owen Smith, Sandra Van Schaeybroeck and Richard Sullivan and has published in prestigious journals such as New England Journal of Medicine, The Lancet and Journal of Biological Chemistry.

In The Last Decade

Mark Lawler

239 papers receiving 5.8k citations

Hit Papers

Integrating Genomics into Healthcare: A Global Responsibi... 2019 2026 2021 2023 2019 50 100 150 200

Peers

Mark Lawler
Comparison fields: 5 of 164
  • Molecular Biology 2.1k
  • Oncology 1.5k
  • Hematology 1.4k
  • Cancer Research 876
  • Immunology 706
Replace Ann T. Farrell with:
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N M Hjelm Hong Kong
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Ann T. Farrell United States View profile →
Citations per field, relative to Mark Lawler
Mark Lawler · 1×
Citations per year, relative to Mark Lawler
Mark Lawler · 1×

Countries citing papers authored by Mark Lawler

Since Specialization
Citations

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

Fields of papers citing papers by Mark Lawler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Lawler

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Lawler. A scholar is included among the top collaborators of Mark Lawler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Lawler. Mark Lawler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 18
5 5
6 5
7 14
8 3
9 31
10 21
11 20
12 6
13 18
14 40
15 53
16 31
17 103
18 55
19 30
20
Investing in ICTs in educational institutions in developing countries: An evaluation of their impact in Kenya
46

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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