Ben Lawrence

2.2k total citations · 1 hit paper
47 papers, 1.2k citations indexed

About

Ben Lawrence is a scholar working on Oncology, Epidemiology and Molecular Biology. According to data from OpenAlex, Ben Lawrence has authored 47 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Oncology, 30 papers in Epidemiology and 10 papers in Molecular Biology. Recurrent topics in Ben Lawrence's work include Neuroendocrine Tumor Research Advances (30 papers), Lung Cancer Research Studies (22 papers) and Pancreatic and Hepatic Oncology Research (11 papers). Ben Lawrence is often cited by papers focused on Neuroendocrine Tumor Research Advances (30 papers), Lung Cancer Research Studies (22 papers) and Pancreatic and Hepatic Oncology Research (11 papers). Ben Lawrence collaborates with scholars based in New Zealand, United States and Germany. Ben Lawrence's co-authors include Mark Kidd, Irvin M. Modlin, Bernhard Svejda, Björn Gustafsson, Anthony Chan, Simon Schimmack, Roswitha Pfragner, Daniele Alaimo, Markus W. Büchler and Hubertus Schmitz‐Winnenthal and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Cancer.

In The Last Decade

Ben Lawrence

43 papers receiving 1.2k citations

Hit Papers

The Epidemiology of Gastroenteropancreatic Neuroendocrine... 2011 2026 2016 2021 2011 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ben Lawrence New Zealand 15 947 931 566 175 101 47 1.2k
Viktor Johanson Sweden 20 621 0.7× 542 0.6× 446 0.8× 114 0.7× 165 1.6× 43 1.0k
Leonardo Ferrari Italy 14 511 0.5× 584 0.6× 392 0.7× 100 0.6× 50 0.5× 30 833
Carmen Jacob United States 9 566 0.6× 536 0.6× 401 0.7× 154 0.9× 33 0.3× 20 763
P. Ruszniewski France 14 473 0.5× 376 0.4× 255 0.5× 180 1.0× 340 3.4× 54 869
Concetta Sciammarella Italy 15 284 0.3× 412 0.4× 164 0.3× 118 0.7× 132 1.3× 24 709
Venessa Tsang Australia 21 322 0.3× 600 0.6× 130 0.2× 211 1.2× 214 2.1× 48 1.1k
Daria Arbogast United States 9 131 0.1× 483 0.5× 28 0.0× 385 2.2× 99 1.0× 9 1.2k
Beate Häberle Germany 18 106 0.1× 254 0.3× 221 0.4× 486 2.8× 336 3.3× 42 1.1k
Caitlin A. McIntyre United States 13 117 0.1× 366 0.4× 36 0.1× 67 0.4× 155 1.5× 35 495
Yuhan Huang United States 9 198 0.2× 248 0.3× 30 0.1× 262 1.5× 66 0.7× 24 568

Countries citing papers authored by Ben Lawrence

Since Specialization
Citations

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

Fields of papers citing papers by Ben Lawrence

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Lawrence

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Lawrence. A scholar is included among the top collaborators of Ben Lawrence 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 Ben Lawrence. Ben Lawrence 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
1.
Lawrence, Ben, et al.. (2024). A reassessment of spinal cord pathology in severe infantile spinal muscular atrophy. Neuropathology and Applied Neurobiology. 50(5). e13013–e13013. 1 indexed citations
2.
Mortier, Laurent, Lisa Villabona, Ben Lawrence, et al.. (2024). Pembrolizumab for the First-Line Treatment of Recurrent Locally Advanced or Metastatic Merkel Cell Carcinoma: Results from the Single-Arm, Open-Label, Phase III KEYNOTE-913 Study. American Journal of Clinical Dermatology. 25(6). 987–996. 3 indexed citations
3.
Ward, Zoë, Rachna Patel, Sandra Fitzgerald, et al.. (2023). Chromosomal Aberrations Accumulate during Metastasis of Virus-Negative Merkel Cell Carcinoma. Journal of Investigative Dermatology. 143(7). 1168–1177.e2. 4 indexed citations
4.
Tsai, Peter, Sandra Fitzgerald, Paula Shields, et al.. (2022). Complex Patterns of Genomic Heterogeneity Identified in 42 Tumor Samples and ctDNA of a Pulmonary Atypical Carcinoid Patient. Cancer Research Communications. 3(1). 31–42. 2 indexed citations
6.
7.
Chang, Vanessa, et al.. (2020). Specialized Cell-Free DNA Blood Collection Tubes Can Be Repurposed for Extracellular Vesicle Isolation: A Pilot Study. Biopreservation and Biobanking. 18(5). 462–470. 6 indexed citations
8.
Pattison, Sharon, Eva Segelov, Simron Singh, et al.. (2019). Consensus-Derived Quality Performance Indicators for Neuroendocrine Tumour Care. Journal of Clinical Medicine. 8(9). 1455–1455. 6 indexed citations
9.
Stapleton, Rachel, Tim Morgan, Ian Hayes, et al.. (2018). A pilot study of exome sequencing in a diverse New Zealand cohort with undiagnosed disorders and cancer. Journal of the Royal Society of New Zealand. 48(4). 262–279. 3 indexed citations
10.
Schimmack, Simon, Ben Lawrence, Barton Kenney, et al.. (2016). Minichromosome Maintenance Expression Defines Slow-Growing Gastroenteropancreatic Neuroendocrine Neoplasms. Translational Oncology. 9(5). 411–418. 8 indexed citations
11.
Giovinazzo, Francesco, Daniele Alaimo, Ben Lawrence, et al.. (2015). GNA15 expression in small intestinal neuroendocrine neoplasia: Functional and signalling pathway analyses. Cellular Signalling. 27(5). 899–907. 14 indexed citations
12.
Schimmack, Simon, Andrew Taylor, Ben Lawrence, et al.. (2014). Stathmin in pancreatic neuroendocrine neoplasms: a marker of proliferation and PI3K signaling. Tumor Biology. 36(1). 399–408. 20 indexed citations
13.
Schimmack, Simon, Andrew Taylor, Ben Lawrence, et al.. (2014). A mechanistic role for the chromatin modulator, NAP1L1, in pancreatic neuroendocrine neoplasm proliferation and metastases. Epigenetics & Chromatin. 7(1). 15–15. 44 indexed citations
14.
Kidd, Mark, Simon Schimmack, Ben Lawrence, Daniele Alaimo, & Irvin M. Modlin. (2012). EGFR/TGFα and TGFβ/CTGF Signaling in Neuroendocrine Neoplasia: Theoretical Therapeutic Targets. Neuroendocrinology. 97(1). 35–44. 28 indexed citations
15.
Schimmack, Simon, Ben Lawrence, Bernhard Svejda, et al.. (2011). The clinical implications and biologic relevance of neurofilament expression in gastroenteropancreatic neuroendocrine neoplasms. Cancer. 118(10). 2763–2775. 16 indexed citations
16.
Schmitz-Winnenthal, Friedrich H., et al.. (2011). Quality of life is not influenced by the extent of surgery in patients with benign goiter. Langenbeck s Archives of Surgery. 396(8). 1157–1163. 25 indexed citations
17.
Lawrence, Ben, et al.. (2011). The Clinical Relevance of Chromogranin A as a Biomarker for Gastroenteropancreatic Neuroendocrine Tumors. Endocrinology and Metabolism Clinics of North America. 40(1). 111–134. 117 indexed citations
18.
Lawrence, Ben, Björn Gustafsson, Anthony Chan, et al.. (2011). The Epidemiology of Gastroenteropancreatic Neuroendocrine Tumors. Endocrinology and Metabolism Clinics of North America. 40(1). 1–18. 632 indexed citations breakdown →
19.
Lawrence, Ben. (1975). Cost Analysis in Postsecondary Education: The Contextual Realities.. Higher education management. 3(3). 1–6. 1 indexed citations
20.
Lawrence, Ben, et al.. (1971). Food and bioengineering-- : fundamental and industrial aspects. 4 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026