V. Gallo

53.7k citations
80 papers · 4.0k · 1 hit paper · h-index 26

Impact in

Papers in

V. Gallo

76 papers receiving 3.9k citations

V. Gallo's Hit Papers

Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization 2021 · 1.9k citations
1.9k0+1+3Years since publication50010001.5k

Peers

V. Gallo
Comparison fields: 5 of 170
  • Health, Toxicology and Mutagenesis 438
  • Genetics 818
  • Environmental Chemistry 247
  • Neurology 362
  • Rheumatology 320
Replace Gianluca Severi with:
Gianluca Severi France
Dhananjay Vaidya United States
Liming Liang United States
Robin P. Peeters Netherlands
Fung‐Chang Sung Taiwan
Minxue Shen China
Mark P. Purdue United States
Howard Trachtman United States
Yufang Bi China
Fung-Chang Sung Taiwan
V. Gallo relative to Gianluca Severi France Gianluca Severi's profile →
Citations per field
00.5×1.5×2.1×
Gianluca Severi · 1×
Citations per year

Countries citing papers authored by V. Gallo

Since Specialization
Citations

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

Fields of papers citing papers by V. Gallo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside V. Gallo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with V. Gallo Line = papers co-authored together V. Gallo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Strengthening the Reporting of Observational Studies in Epidemiology Using Mendelian Randomization
Hit paper breakdown →
20211946
2 2012238
3 2014150
4 2016121
5 2015107
6 2009100
7 201097
8 201193
9 201768
10 201364
11 201564
12 201462
13 201561
14 201156
15 202039
16 200837
17 201636
18 201733
19 201133
20 201533

About V. Gallo

V. Gallo is a scholar working on Health, Toxicology and Mutagenesis, Statistics, Probability and Uncertainty, Neurology, Epidemiology and Molecular Biology, having authored 80 papers that have together received 4.0k indexed citations. Recurring topics across this work include Health, Environment, Cognitive Aging (11 papers), Meta-analysis and systematic reviews (10 papers), Air Quality and Health Impacts (7 papers), Traumatic Brain Injury Research (7 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Advanced Causal Inference Techniques (6 papers), Carcinogens and Genotoxicity Assessment (4 papers) and Health disparities and outcomes (4 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (438 citations), Genetics (818 citations), Environmental Chemistry (247 citations), Neurology (362 citations) and Rheumatology (320 citations). V. Gallo has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include Matthias Egger, Benjamin Woolf, Anne Tybjærg‐Hansen, Elizabeth Loder, Claudia Langenberg, Niki Dimou, J. Brent Richards, Julian P. T. Higgins, George Davey Smith and Veronika Skrivankova. Their work appears in journals such as BMJ Open, Journal of Neurology, Scientific Reports, BMJ Global Health and Neurobiology of Aging.

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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