Virginia Chiocchia

3.9k total citations · 1 hit paper
26 papers, 1.0k citations indexed

About

Virginia Chiocchia is a scholar working on Statistics, Probability and Uncertainty, Surgery and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Virginia Chiocchia has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Statistics, Probability and Uncertainty, 5 papers in Surgery and 5 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Virginia Chiocchia's work include Meta-analysis and systematic reviews (5 papers), Maternal and Perinatal Health Interventions (3 papers) and Neonatal Respiratory Health Research (3 papers). Virginia Chiocchia is often cited by papers focused on Meta-analysis and systematic reviews (5 papers), Maternal and Perinatal Health Interventions (3 papers) and Neonatal Respiratory Health Research (3 papers). Virginia Chiocchia collaborates with scholars based in United Kingdom, Switzerland and United States. Virginia Chiocchia's co-authors include George C.M. Siontis, Corran Roberts, Stephen Gerry, Michael Maia Schlüssel, Camille Lassale, Ioanna Tzoulaki, Johanna AAG Damen, Lotty Hooft, James A Black and Pauline Heus and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and The British Journal of Psychiatry.

In The Last Decade

Virginia Chiocchia

24 papers receiving 1.0k citations

Hit Papers

align trajectories sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Prediction models for cardiovascular disease risk in the general population: systematic review

2016 588 citations Johanna AAG Damen, Lotty Hooft et al. BMJ profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Virginia Chiocchia United Kingdom	12	286	145	144	143	135	26	1.0k
Ruzan Udumyan Sweden	24	367 1.3×	281 1.9×	342 2.4×	126 0.9×	68 0.5×	48	1.7k
Linus Schiöler Sweden	22	398 1.4×	139 1.0×	160 1.1×	190 1.3×	230 1.7×	97	1.6k
Zheyu Wang United States	12	181 0.6×	121 0.8×	213 1.5×	108 0.8×	43 0.3×	33	1.1k
Ashma Krishan United Kingdom	15	240 0.8×	146 1.0×	214 1.5×	161 1.1×	64 0.5×	32	1.3k
James A Black United Kingdom	11	269 0.9×	304 2.1×	148 1.0×	287 2.0×	156 1.2×	15	1.1k
Arthur V. Iansavichus Canada	17	266 0.9×	241 1.7×	101 0.7×	237 1.7×	50 0.4×	23	1.7k
Tsung Yu Taiwan	18	95 0.3×	87 0.6×	134 0.9×	133 0.9×	84 0.6×	106	946
Constantinos Koshiaris United Kingdom	17	653 2.3×	308 2.1×	240 1.7×	178 1.2×	182 1.3×	56	1.7k
Rose Wharton United Kingdom	13	186 0.7×	274 1.9×	268 1.9×	104 0.7×	22 0.2×	24	1.4k
Jinhui Tian China	21	133 0.5×	387 2.7×	166 1.2×	207 1.4×	151 1.1×	88	1.8k

Countries citing papers authored by Virginia Chiocchia

Since Specialization

Citations

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

Fields of papers citing papers by Virginia Chiocchia

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Chiocchia

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Chiocchia. A scholar is included among the top collaborators of Virginia Chiocchia 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 Virginia Chiocchia. Virginia Chiocchia 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

Ostinelli, Edoardo G., Georgia Salanti, Malcolm Macleod, et al.. (2025). Pro-dopaminergic pharmacological interventions for anhedonia in depression: a living systematic review and network meta-analysis of human and animal studies. EBioMedicine. 121. 105967–105967. 2 indexed citations

Smith, Katharine, Niall Boyce, Astrid Chevance, et al.. (2024). Triangulating evidence from the GALENOS living systematic review on trace amine-associated receptor 1 (TAAR1) agonists in psychosis. The British Journal of Psychiatry. 226(3). 162–170. 4 indexed citations

Chiocchia, Virginia, et al.. (2023). Semi-automated assessment of the risk of bias due to missing evidence in network meta-analysis: a guidance paper for the ROB-MEN web-application. BMC Medical Research Methodology. 23(1). 223–223. 10 indexed citations

Schneider‐Thoma, Johannes, Virginia Chiocchia, Dongfang Wang, et al.. (2023). Metabolic side effects in persons with schizophrenia during mid‐ to long‐term treatment with antipsychotics: a network meta‐analysis of randomized controlled trials. World Psychiatry. 22(1). 116–128. 52 indexed citations

Roehr, Charles Christoph, Andrew S. J. Marshall, Manish Sadarangani, et al.. (2023). Techniques to increase lumbar puncture success in newborn babies: the NeoCLEAR RCT. Health Technology Assessment. 27(33). 1–97.

Chiocchia, Virginia, Ian R. White, & Georgia Salanti. (2022). The complexity underlying treatment rankings: how to use them and what to look at. BMJ evidence-based medicine. 28(3). 180–182. 7 indexed citations

Samara, Myrto, Maximilian Huhn, Virginia Chiocchia, et al.. (2020). Efficacy, acceptability, and tolerability of all available treatments for insomnia in the elderly: a systematic review and network meta‐analysis. Acta Psychiatrica Scandinavica. 142(1). 6–17. 39 indexed citations

Chiocchia, Virginia, Adriani Nikolakopoulou, Theodoros Papakonstantinou, Matthias Egger, & Georgia Salanti. (2020). Agreement between ranking metrics in network meta-analysis: an empirical study. BMJ Open. 10(8). e037744–e037744. 13 indexed citations

Chappell, Lucy C., Peter Brocklehurst, Rachael Hunter, et al.. (2020). Planned Early Delivery or Expectant Management for Late Preterm Pre-eclampsia (PHOENIX): A Randomized Controlled Trial. Obstetrical & Gynecological Survey. 75(2). 83–84. 2 indexed citations

10.

Marshall, Andrew S. J., Manish Sadarangani, R. Jordan Williams, et al.. (2020). Study protocol: NeoCLEAR: Neonatal Champagne Lumbar punctures Every time – An RCT: a multicentre, randomised controlled 2 × 2 factorial trial to investigate techniques to increase lumbar puncture success. BMC Pediatrics. 20(1). 165–165. 10 indexed citations

11.

Knight, Marian, Virginia Chiocchia, Christopher Partlett, et al.. (2019). Intravenous co-amoxiclav to prevent infection after operative vaginal delivery: the ANODE RCT. Health Technology Assessment. 23(54). 1–54. 5 indexed citations

12.

Chappell, Lucy C., Marcus Green, Neil Marlow, et al.. (2019). Planned delivery or expectant management for late preterm pre-eclampsia: study protocol for a randomised controlled trial (PHOENIX trial). Trials. 20(1). 85–85. 9 indexed citations

13.

Knight, Marian, Virginia Chiocchia, Christopher Partlett, et al.. (2019). Prophylactic antibiotics in the prevention of infection after operative vaginal delivery (ANODE): a multicentre randomised controlled trial. The Lancet. 393(10189). 2395–2403. 71 indexed citations

14.

Saratzis, Athanasios, Virginia Chiocchia, Neelam Hassanali, et al.. (2018). HYDration and Bicarbonate to Prevent Acute Renal Injury After Endovascular Aneurysm Repair With Suprarenal Fixation: Pilot/Feasibility Randomised Controlled Study (HYDRA Pilot Trial). European Journal of Vascular and Endovascular Surgery. 55(5). 648–656. 14 indexed citations

15.

Bryant, Richard J., Bob Yang, Yiannis Philippou, et al.. (2018). Does the introduction of prostate multiparametric magnetic resonance imaging into the active surveillance protocol for localized prostate cancer improve patient re‐classification?. British Journal of Urology. 122(5). 794–800. 20 indexed citations

16.

Nasralla, David, David Nasralla, M.Z. Akhtar, et al.. (2018). A multicentre randomised controlled trial to compare the efficacy of ex-vivo normothermic machine perfusion with static cold storage in human liver transplantation. Protocol Exchange. 1 indexed citations

17.

Chiocchia, Virginia, David Nasralla, Alison Bradley, et al.. (2017). Machine perfusion in liver transplantation: practical issues to consider in the design and conduct of a complex multinational interventional trial and the potential impact on the analysis. Trials. 18. 200–200. 3 indexed citations

18.

Odutayo, Ayodele, Connor A. Emdin, Allan J. Hsiao, et al.. (2017). Association between trial registration and positive study findings: cross sectional study (Epidemiological Study of Randomized Trials—ESORT). BMJ. 356. j917–j917. 27 indexed citations

19.

Hopewell, Sally, Isabelle Boutron, Douglas G. Altman, et al.. (2016). Impact of a web-based tool (WebCONSORT) to improve the reporting of randomised trials: results of a randomised controlled trial. BMC Medicine. 14(1). 199–199. 38 indexed citations

20.

Damen, Johanna AAG, Lotty Hooft, Ewoud Schuit, et al.. (2016). Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ. 353. i2416–i2416. 588 indexed citations breakdown →

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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