Nicolas M. Orsi

3.4k total citations
81 papers, 2.5k citations indexed

About

Nicolas M. Orsi is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine and Immunology. According to data from OpenAlex, Nicolas M. Orsi has authored 81 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Public Health, Environmental and Occupational Health, 26 papers in Reproductive Medicine and 25 papers in Immunology. Recurrent topics in Nicolas M. Orsi's work include Reproductive System and Pregnancy (19 papers), Reproductive Biology and Fertility (15 papers) and Preterm Birth and Chorioamnionitis (12 papers). Nicolas M. Orsi is often cited by papers focused on Reproductive System and Pregnancy (19 papers), Reproductive Biology and Fertility (15 papers) and Preterm Birth and Chorioamnionitis (12 papers). Nicolas M. Orsi collaborates with scholars based in United Kingdom, United States and Italy. Nicolas M. Orsi's co-authors include Henry J. Leese, Nadia Gopichandran, Michele Cummings, Rachel M. Tribe, James J. Walker, Uma V. Ekbote, Sarah E. Harris, Helen M. Picton, Sarah Field and Shervanthi Homer‐Vanniasinkam and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Nicolas M. Orsi

77 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicolas M. Orsi United Kingdom 28 996 666 616 507 356 81 2.5k
Shiro Kōzuma Japan 29 504 0.5× 593 0.9× 1.1k 1.7× 361 0.7× 675 1.9× 112 2.5k
Stephen C. Bell United Kingdom 31 359 0.4× 594 0.9× 807 1.3× 269 0.5× 988 2.8× 69 2.5k
Young Soo Moon Canada 25 790 0.8× 739 1.1× 218 0.4× 258 0.5× 52 0.1× 116 2.5k
Mark A. Myers Australia 28 616 0.6× 383 0.6× 247 0.4× 726 1.4× 43 0.1× 64 2.9k
J D Davies United Kingdom 32 306 0.3× 339 0.5× 205 0.3× 386 0.8× 178 0.5× 138 3.0k
Chunmei Zhang China 29 320 0.3× 267 0.4× 461 0.7× 828 1.6× 51 0.1× 179 2.7k
Adel Zalata Egypt 20 625 0.6× 1.0k 1.5× 129 0.2× 273 0.5× 28 0.1× 51 1.9k
Mary A. Misukonis United States 27 512 0.5× 158 0.2× 805 1.3× 520 1.0× 118 0.3× 36 2.4k
Na Wang China 27 331 0.3× 86 0.1× 269 0.4× 1.0k 2.0× 68 0.2× 191 2.7k
Marcus Dittrich Germany 33 205 0.2× 86 0.1× 315 0.5× 1.8k 3.6× 220 0.6× 103 3.7k

Countries citing papers authored by Nicolas M. Orsi

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas M. Orsi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicolas M. Orsi. 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 Nicolas M. Orsi. The network helps show where Nicolas M. Orsi may publish in the future.

Co-authorship network of co-authors of Nicolas M. Orsi

This figure shows the co-authorship network connecting the top 25 collaborators of Nicolas M. Orsi. A scholar is included among the top collaborators of Nicolas M. Orsi 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 Nicolas M. Orsi. Nicolas M. Orsi 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.
Orsi, Nicolas M., et al.. (2026). Hofbauer Cells in Pregnancies Complicated by Gestational Diabetes Mellitus and Pathological Fetal Growth. American Journal of Reproductive Immunology. 95(2). e70216–e70216.
2.
Allen, Katrina J., et al.. (2025). A comprehensive evaluation of histopathology foundation models for ovarian cancer subtype classification. npj Precision Oncology. 9(1). 33–33. 1 indexed citations
3.
4.
Angelico, Giuseppe, Lorenzo Colarossi, Cristina Colarossi, et al.. (2024). ARID1A Mutations in Gastric Cancer: A Review with Focus on Clinicopathological Features, Molecular Background and Diagnostic Interpretation. Cancers. 16(11). 2062–2062. 8 indexed citations
5.
Walsh, Elizabeth & Nicolas M. Orsi. (2024). The current troubled state of the global pathology workforce: a concise review. Diagnostic Pathology. 19(1). 163–163. 4 indexed citations
6.
Thangavelu, Amudha, Georgios Theophilou, Diederick De Jong, et al.. (2023). Immune Checkpoint Inhibitors Targeting the PD-1/PD-L1 Pathway in Advanced, Recurrent Endometrial Cancer: A Scoping Review with SWOT Analysis. Cancers. 15(18). 4632–4632. 4 indexed citations
7.
Orsi, Nicolas M., et al.. (2023). Patient and public involvement (PPI) in computer-aided diagnostics in digital histopathology. Diagnostic histopathology. 29(9). 410–416. 1 indexed citations
8.
Allen, Katrina J., et al.. (2023). Artificial intelligence in ovarian cancer histopathology: a systematic review. npj Precision Oncology. 7(1). 83–83. 33 indexed citations
9.
Campbell, Matthew D., et al.. (2022). Impact of food processing on postprandial glycaemic and appetite responses in healthy adults: a randomized, controlled trial. Food & Function. 13(3). 1280–1290. 10 indexed citations
10.
Christensen, Paul, Julieta E. Barroeta, Krystal Hunter, et al.. (2022). Prognostic Significance of Size, Location, and Number of Lymph Node Metastases in Endometrial Carcinoma. International Journal of Gynecological Pathology. 42(4). 376–389. 4 indexed citations
11.
Laios, Alexandros, David Jackson, David Nugent, et al.. (2021). The Uncertain Benefit of Adjuvant Chemotherapy in Advanced Low-Grade Serous Ovarian Cancer and the Pivotal Role of Surgical Cytoreduction. Journal of Clinical Medicine. 10(24). 5927–5927. 10 indexed citations
12.
Cummings, Michele, et al.. (2021). Barriers to Immunotherapy in Ovarian Cancer: Metabolic, Genomic, and Immune Perturbations in the Tumour Microenvironment. Cancers. 13(24). 6231–6231. 27 indexed citations
13.
14.
Dasgupta, Tathagata, et al.. (2017). A Bayesian view of murine seminal cytokine networks. PLoS ONE. 12(11). e0188897–e0188897. 4 indexed citations
15.
Orsi, Nicolas M., et al.. (2016). Primary ovarian neuroendocrine tumor arising in association with a mature cystic teratoma: A case report. Gynecologic Oncology Reports. 17. 83–85. 8 indexed citations
16.
Field, Sarah, Michele Cummings, & Nicolas M. Orsi. (2015). Epithelial and stromal-specific immune pathway activation in the murine endometrium post-coitum. Reproduction. 150(2). 127–138. 8 indexed citations
17.
Cummings, Michele, J Sarveswaran, Shervanthi Homer‐Vanniasinkam, Dermot Burke, & Nicolas M. Orsi. (2014). Glyceraldehyde-3-phosphate Dehydrogenase is an Inappropriate Housekeeping Gene for Normalising Gene Expression in Sepsis. Inflammation. 37(5). 1889–1894. 24 indexed citations
18.
Hogan, Brian, Mark Peter, Fiona Langlands, et al.. (2010). Perioperative Reductions in Circulating Lymphocyte Levels Predict Wound Complications After Excisional Breast Cancer Surgery. Annals of Surgery. 253(2). 360–364. 5 indexed citations
19.
Fräser, R. A., et al.. (2008). Interleukin‐4 −590 (C>T), toll‐like receptor‐2 +2258 (G>A) and matrix metalloproteinase‐9 −1562 (C>T) polymorphisms in pre‐eclampsia. BJOG An International Journal of Obstetrics & Gynaecology. 115(8). 1052–1056. 26 indexed citations
20.
Orsi, Nicolas M., Nadia Gopichandran, & Nigel Simpson. (2007). Genetics of preterm labour. Best Practice & Research Clinical Obstetrics & Gynaecology. 21(5). 757–772. 5 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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