Mark Kidd

20.3k total citations · 6 hit papers
261 papers, 14.4k citations indexed

About

Mark Kidd is a scholar working on Epidemiology, Oncology and Neurology. According to data from OpenAlex, Mark Kidd has authored 261 papers receiving a total of 14.4k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Epidemiology, 130 papers in Oncology and 84 papers in Neurology. Recurrent topics in Mark Kidd's work include Neuroendocrine Tumor Research Advances (157 papers), Lung Cancer Research Studies (108 papers) and Neuroblastoma Research and Treatments (82 papers). Mark Kidd is often cited by papers focused on Neuroendocrine Tumor Research Advances (157 papers), Lung Cancer Research Studies (108 papers) and Neuroblastoma Research and Treatments (82 papers). Mark Kidd collaborates with scholars based in United States, Norway and Germany. Mark Kidd's co-authors include Irvin M. Modlin, Kevin D. Lye, Björn Gustafsson, Ignat Drozdov, Lisa Bodei, Anthony Chan, Michael D. Shapiro, Bernhard Svejda, Igor Latich and Michelle N. Zikusoka and has published in prestigious journals such as Science, Journal of Clinical Oncology and Gastroenterology.

In The Last Decade

Mark Kidd

255 papers receiving 14.0k citations

Hit Papers

A 5‐decade analysis of 13,715 carcinoid tumors 2003 2026 2010 2018 2003 2003 2011 2005 2014 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Kidd United States 60 10.1k 9.0k 6.0k 2.9k 1.6k 261 14.4k
Irvin M. Modlin United States 71 12.7k 1.3× 11.6k 1.3× 7.8k 1.3× 4.8k 1.7× 2.7k 1.6× 393 20.6k
Anne Couvelard France 68 8.0k 0.8× 9.3k 1.0× 4.5k 0.7× 4.5k 1.6× 1.8k 1.1× 372 15.6k
Guido Rindi Italy 68 15.0k 1.5× 13.5k 1.5× 10.2k 1.7× 3.4k 1.2× 1.8k 1.1× 428 21.6k
Enrico Solcia Italy 72 7.2k 0.7× 6.8k 0.8× 3.3k 0.6× 7.7k 2.7× 3.5k 2.2× 302 18.5k
Donatella Santini Italy 51 2.5k 0.2× 3.5k 0.4× 852 0.1× 2.2k 0.8× 3.0k 1.9× 314 11.0k
Ernest C. Borden United States 66 1.4k 0.1× 5.8k 0.6× 718 0.1× 1.1k 0.4× 4.9k 3.0× 311 16.2k
Bette K. Kleinschmidt‐DeMasters United States 56 3.4k 0.3× 1.6k 0.2× 2.7k 0.4× 1.3k 0.4× 2.7k 1.7× 294 12.4k
Norman Talal United States 62 2.1k 0.2× 2.1k 0.2× 1.2k 0.2× 2.2k 0.8× 3.1k 1.9× 317 27.4k
Tapas K. Das Gupta United States 49 927 0.1× 2.6k 0.3× 1.4k 0.2× 879 0.3× 2.9k 1.8× 287 9.0k
Sirpa Jalkanen Finland 76 1.5k 0.2× 3.1k 0.3× 562 0.1× 1.5k 0.5× 7.7k 4.8× 372 17.9k

Countries citing papers authored by Mark Kidd

Since Specialization
Citations

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

Fields of papers citing papers by Mark Kidd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Kidd

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Kidd. A scholar is included among the top collaborators of Mark Kidd 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 Kidd. Mark Kidd 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.
Rahbar, Kambiz, et al.. (2025). Clinical Sensitivity and Specificity of the PROSTest in an American Cohort. The Prostate. 85(6). 558–566. 2 indexed citations
2.
Kidd, Mark, Ignat Drozdov, Alin Chirindel, et al.. (2025). NETest ® 2.0—A decade of innovation in neuroendocrine tumor diagnostics. Journal of Neuroendocrinology. 37(4). e70002–e70002. 2 indexed citations
3.
Rosin, R. David, et al.. (2024). Evaluation of a multigenomic liquid biopsy (PROSTest) for prostate cancer detection and follow-up in a Caribbean population. Cancer Epidemiology. 92. 102642–102642. 2 indexed citations
4.
Modlin, Irvin M., Mark Kidd, Ignat Drozdov, et al.. (2024). Development of a multigenomic liquid biopsy (PROSTest) for prostate cancer in whole blood. The Prostate. 84(9). 850–865. 10 indexed citations
5.
Rinke, Anja, Christoph J. Auernhammer, Lisa Bodei, et al.. (2021). Treatment of advanced gastroenteropancreatic neuroendocrine neoplasia, are we on the way to personalised medicine?. Gut. 70(9). 1768–1781. 24 indexed citations
6.
Jilesen, Anneke P. J., Els J.�M. Nieveen van Dijkum, Heinz‐Josef Klümpen, et al.. (2018). Measurement of circulating transcript levels (NETest) to detect disease recurrence and improve follow‐up after curative surgical resection of well‐differentiated pancreatic neuroendocrine tumors. Journal of Surgical Oncology. 118(1). 37–48. 31 indexed citations
7.
Modlin, Irvin M., Mark Kidd, Pier Luigi Filosso, et al.. (2017). Molecular strategies in the management of bronchopulmonary and thymic neuroendocrine neoplasms. Journal of Thoracic Disease. 9(S15). S1458–S1473. 10 indexed citations
8.
Risch, Harvey A., Lingeng Lu, Jing Wang, et al.. (2016). Aspirin Use and Reduced Risk of Pancreatic Cancer. Cancer Epidemiology Biomarkers & Prevention. 26(1). 68–74. 50 indexed citations
9.
Kidd, Mark, Ignat Drozdov, & Irvin M. Modlin. (2015). Blood and tissue neuroendocrine tumor gene cluster analysis correlate, define hallmarks and predict disease status. Endocrine Related Cancer. 22(4). 561–575. 80 indexed citations
10.
Frilling, Andrea, Irvin M. Modlin, Mark Kidd, et al.. (2014). Recommendations for management of patients with neuroendocrine liver metastases. The Lancet Oncology. 15(1). e8–e21. 349 indexed citations breakdown →
11.
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
12.
Vázquez‐Carrera, Manuel, Bharat Jasani, Jennifer B. Stott, et al.. (2009). Adenosine A2 receptor signalling mediates chromogranin A secretion from neuroendocrine Tumours. 19. 2 indexed citations
13.
Drozdov, Ignat, et al.. (2009). Nikolai Konstantinovich Kulchitsky (1856–1925). Journal of Medical Biography. 17(1). 47–54. 1 indexed citations
14.
Hauso, Øyvind, Björn Gustafsson, Mark Kidd, et al.. (2008). Neuroendocrine tumor epidemiology. Cancer. 113(10). 2655–2664. 392 indexed citations
15.
Pannala, Rahul, Mark Kidd, & Irvin M. Modlin. (2006). Surgery for Obesity: Panacea or Pandora’s Box?. Digestive Surgery. 23(1-2). 1–11. 7 indexed citations
16.
Falush, Daniel, Thierry Wirth, Bodo Linz, et al.. (2003). Traces of Human Migrations in Helicobacter pylori Populations. Science. 299(5612). 1582–1585. 742 indexed citations breakdown →
18.
Kidd, Mark, Albert J. Lastovica, John C. Atherton, & J. A. Louw. (1999). Heterogeneity in the Helicobacter pylori vacA and cagA genes: association with gastroduodenal disease in South Africa?. Gut. 45(4). 499–502. 121 indexed citations
19.
Kidd, Mark & Irvin M. Modlin. (1998). A Century of Helicobacter pylori. Digestion. 59(1). 1–15. 60 indexed citations
20.
Kidd, Mark, et al.. (1997). Dietary factors associated with a low risk of colon cancer in coloured west coast fishermen.. PubMed. 87(2). 152–8. 68 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.

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