Marco Loddo

1.1k total citations
30 papers, 788 citations indexed

About

Marco Loddo is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Marco Loddo has authored 30 papers receiving a total of 788 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Oncology, 13 papers in Molecular Biology and 11 papers in Cancer Research. Recurrent topics in Marco Loddo's work include Cancer Genomics and Diagnostics (11 papers), DNA Repair Mechanisms (7 papers) and Cancer-related Molecular Pathways (7 papers). Marco Loddo is often cited by papers focused on Cancer Genomics and Diagnostics (11 papers), DNA Repair Mechanisms (7 papers) and Cancer-related Molecular Pathways (7 papers). Marco Loddo collaborates with scholars based in United Kingdom, Netherlands and India. Marco Loddo's co-authors include Gareth Williams, Kai Stoeber, Thomas Fanshawe, A Toby Prevost, Tim Dudderidge, R Sainsbury, David F. Griffiths, Kathryn Leigh Eward, Sarah R. Kingsbury and Ellen C. Obermann and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Marco Loddo

27 papers receiving 758 citations

Peers

Marco Loddo

MB

ONCOL

CR

PRM

CB

Yvonne T.M. Tsang United States

Raphaela Schwentner Austria

Letizia Perracchio Italy

Michiko Harao Japan

Soledad Alonso Spain

Zofia Hélias‐Rodzewicz France

David J. Konieczkowski United States

Tsui‐Lien Mao Taiwan

Arthur Kwok Leung Cheung Hong Kong

Hwang-Phill Kim South Korea

Yvonne T.M. Tsang United States

Marco Loddo

533 ×1.1

MB

329 ×1.1

ONCOL

211 ×1.0

CR

141 ×1.0

PRM

101 ×0.8

CB

Citations per year, relative to Marco Loddo Marco Loddo (= 1×) peers Yvonne T.M. Tsang

Countries citing papers authored by Marco Loddo

Since Specialization

Citations

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

Fields of papers citing papers by Marco Loddo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Loddo

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Loddo. A scholar is included among the top collaborators of Marco Loddo 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 Marco Loddo. Marco Loddo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Loddo, Marco, et al.. (2022). Utilisation of semiconductor sequencing for detection of actionable fusions in solid tumours. PLoS ONE. 17(8). e0246778–e0246778.

2.

Williams, Gareth, et al.. (2022). Utilisation of semiconductor sequencing for the detection of predictive biomarkers in glioblastoma. PLoS ONE. 17(3). e0245817–e0245817. 1 indexed citations

3.

Williams, Gareth, et al.. (2021). SARS-CoV-2 testing and sequencing for international arrivals reveals significant cross border transmission of high risk variants into the United Kingdom. EClinicalMedicine. 38. 101021–101021. 18 indexed citations

4.

Williams, Gareth, Andrew G. Nicholson, David Snead, et al.. (2019). Interobserver Reliability of Programmed Cell Death Ligand-1 Scoring Using the VENTANA PD-L1 (SP263) Assay in NSCLC. Journal of Thoracic Oncology. 15(4). 550–555. 16 indexed citations

5.

Loddo, Marco. (2017). Der maritime Telenotarzt im Offshorebereich. 24(2). 67–72. 2 indexed citations

6.

Huggett, Matthew T., Slavica Tudzarova, Ian Proctor, et al.. (2016). Cdc7 is a potent anti-cancer target in pancreatic cancer due to abrogation of the DNA origin activation checkpoint. Oncotarget. 7(14). 18495–18507. 20 indexed citations

7.

Kuku, Stephanie, Ian Proctor, Marco Loddo, et al.. (2015). Do Cell-Cycle Phase-Specific Markers Predict Disease Grade, Stage, and Outcome in Cervical Carcinoma?. International Journal of Gynecological Cancer. 25(6). 1066–1072. 6 indexed citations

8.

Rodríguez‐Acebes, Sara, Ian Proctor, Marco Loddo, et al.. (2010). Targeting DNA Replication before it Starts. American Journal Of Pathology. 177(4). 2034–2045. 44 indexed citations

9.

Sainsbury, R, Ian Proctor, Stéphanie Rodriguez, et al.. (2010). Targeting DNA replication before it starts: Cdc7 as a therapeutic target in p53 mutant Her2 and triple negative breast cancer. Breast Cancer Research. 12(S1). 5 indexed citations

10.

Kingsbury, Sarah R., Slavica Tudzarova, Hye-Kyung Hong, et al.. (2009). Cdc7 Kinase Is a Predictor of Survival and a Novel Therapeutic Target in Epithelial Ovarian Carcinoma. Clinical Cancer Research. 15(7). 2417–2425. 59 indexed citations

11.

Kayes, Oliver, Marco Loddo, Nimish Patel, et al.. (2009). DNA Replication Licensing Factors and Aneuploidy Are Linked to Tumor Cell Cycle State and Clinical Outcome in Penile Carcinoma. Clinical Cancer Research. 15(23). 7335–7344. 28 indexed citations

12.

Loddo, Marco, Sarah R. Kingsbury, Ian Proctor, et al.. (2009). Cell-cycle-phase progression analysis identifies unique phenotypes of major prognostic and predictive significance in breast cancer. British Journal of Cancer. 100(6). 959–970. 76 indexed citations

13.

Loddo, Marco, Mamoon Ur Rashid, Ian Proctor, et al.. (2009). Cell cycle phase progression analysis identifies unique replication phenotypes of major prognostic and predictive significance in cancer.. Cancer Research. 69(2_Supplement). 5066–5066. 1 indexed citations

14.

Dudderidge, Tim, Stuart McCracken, Marco Loddo, et al.. (2007). Mitogenic growth signalling, DNA replication licensing, and survival are linked in prostate cancer. British Journal of Cancer. 96(9). 1384–1393. 35 indexed citations

15.

Quaglia, Alberto, Kai Stoeber, Marco Loddo, et al.. (2006). Novel markers of cell kinetics to evaluate progression from cirrhosis to hepatocellular carcinoma. Liver International. 26(4). 424–432. 27 indexed citations

16.

Quaglia, Alberto, Kai Stoeber, Marco Loddo, et al.. (2006). Novel markers of cell kinetics to evaluate progression from cirrhosis to hepatocellular carcinoma. Liver International. 0(0). 1336851785–1336851785. 6 indexed citations

17.

Shetty, Aniket, Marco Loddo, Thomas Fanshawe, et al.. (2005). DNA replication licensing and cell cycle kinetics of normal and neoplastic breast. British Journal of Cancer. 93(11). 1295–1300. 73 indexed citations

18.

Obermann, Ellen C., Kathryn Leigh Eward, Ahmet Doǧan, et al.. (2005). DNA replication licensing in peripheral B‐cell lymphoma. The Journal of Pathology. 205(3). 318–328. 35 indexed citations

19.

Kingsbury, Sarah R., Marco Loddo, Thomas Fanshawe, et al.. (2005). Repression of DNA replication licensing in quiescence is independent of geminin and may define the cell cycle state of progenitor cells. Experimental Cell Research. 309(1). 56–67. 42 indexed citations

20.

Eward, Kathryn Leigh, Ellen C. Obermann, Sathyavageeswaran Shreeram, et al.. (2004). DNA replication licensing in somatic and germ cells. Journal of Cell Science. 117(24). 5875–5886. 63 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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