Grace Monori

660 total citations
9 papers, 422 citations indexed

About

Grace Monori is a scholar working on Genetics, Hematology and Rheumatology. According to data from OpenAlex, Grace Monori has authored 9 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Hematology and 3 papers in Rheumatology. Recurrent topics in Grace Monori's work include Genetic Associations and Epidemiology (6 papers), Iron Metabolism and Disorders (4 papers) and Folate and B Vitamins Research (2 papers). Grace Monori is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Iron Metabolism and Disorders (4 papers) and Folate and B Vitamins Research (2 papers). Grace Monori collaborates with scholars based in United Kingdom, Greece and United States. Grace Monori's co-authors include Dipender Gill, Ioanna Tzoulaki, Abbas Dehghan, Konstantinos K. Tsilidis, Sofia Cividini, Georgios Markozannes, Jonathan Pearson‐Stuttard, Nikos Papadimitriou, Αρτεμισία Κακούρου and Evangelos C. Rizos and has published in prestigious journals such as Stroke, Arteriosclerosis Thrombosis and Vascular Biology and PLoS Medicine.

In The Last Decade

Grace Monori

8 papers receiving 422 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Grace Monori United Kingdom	8	123	118	82	75	74	9	422
Jennifer Hanson United States	6	92 0.7×	104 0.9×	36 0.4×	80 1.1×	30 0.4×	14	425
Venkateshwari Ananthapur India	15	154 1.3×	74 0.6×	34 0.4×	92 1.2×	19 0.3×	73	547
San‐Chi Chen Taiwan	16	128 1.0×	70 0.6×	164 2.0×	260 3.5×	53 0.7×	53	785
Sonali Pechlivanis Germany	13	234 1.9×	96 0.8×	97 1.2×	129 1.7×	17 0.2×	28	643
Halil Gürhan Karabulut Türkiye	11	130 1.1×	46 0.4×	20 0.2×	28 0.4×	85 1.1×	42	369
Yuping Zhang China	13	217 1.8×	43 0.4×	95 1.2×	82 1.1×	15 0.2×	25	546
R O’Donnell United Kingdom	14	178 1.4×	55 0.5×	34 0.4×	184 2.5×	37 0.5×	35	534
Daniela Cugino Italy	7	55 0.4×	33 0.3×	39 0.5×	78 1.0×	32 0.4×	8	272
Balázs Szalay Hungary	14	77 0.6×	50 0.4×	54 0.7×	45 0.6×	63 0.9×	34	436
Loes Linsen Belgium	13	108 0.9×	18 0.2×	63 0.8×	60 0.8×	36 0.5×	27	568

Countries citing papers authored by Grace Monori

Since Specialization

Citations

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

Fields of papers citing papers by Grace Monori

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Grace Monori

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

All Works

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9 of 9 papers shown

Tzoulaki, Ioanna, Claudia Giambartolomei, Dipender Gill, et al.. (2024). Effects of Genetically Determined Iron Status on Risk of Venous Thromboembolism and Carotid Atherosclerotic Disease: A Mendelian Randomization Study. UNC Libraries.

Pearson‐Stuttard, Jonathan, Nikos Papadimitriou, Georgios Markozannes, et al.. (2021). Type 2 Diabetes and Cancer: An Umbrella Review of Observational and Mendelian Randomization Studies. Cancer Epidemiology Biomarkers & Prevention. 30(6). 1218–1228. 143 indexed citations

Markozannes, Georgios, Charalampia Koutsioumpa, Sofia Cividini, et al.. (2020). Global assessment of C-reactive protein and health-related outcomes: an umbrella review of evidence from observational studies and Mendelian randomization studies. European Journal of Epidemiology. 36(1). 11–36. 35 indexed citations

Gill, Dipender, Yazhou He, Xue Li, et al.. (2020). Non‐genetic biomarkers and colorectal cancer risk: Umbrella review and evidence triangulation. Cancer Medicine. 9(13). 4823–4835. 13 indexed citations

Gill, Dipender, Beben Benyamin, Luke Moore, et al.. (2019). Associations of genetically determined iron status across the phenome: A mendelian randomization study. PLoS Medicine. 16(6). e1002833–e1002833. 41 indexed citations

Gill, Dipender, Grace Monori, David‐Alexandre Trégouët, et al.. (2019). Effects of Genetically Determined Iron Status on Risk of Venous Thromboembolism and Carotid Atherosclerotic Disease: A Mendelian Randomization Study. Journal of the American Heart Association. 8(15). e012994–e012994. 51 indexed citations

Gill, Dipender, Nicole E. James, Grace Monori, et al.. (2019). Genetically Determined Risk of Depression and Functional Outcome After Ischemic Stroke. Stroke. 50(8). 2219–2222. 22 indexed citations

Gill, Dipender, Grace Monori, Marios K. Georgakis, Ioanna Tzoulaki, & Michael Laffan. (2018). Genetically Determined Platelet Count and Risk of Cardiovascular Disease. Arteriosclerosis Thrombosis and Vascular Biology. 38(12). 2862–2869. 28 indexed citations

Gill, Dipender, Grace Monori, Ioanna Tzoulaki, & Abbas Dehghan. (2018). Iron Status and Risk of Stroke. Stroke. 49(12). 2815–2821. 89 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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