Francis Vella

452 total papers · 12.7k total citations
242 papers, 8.4k citations indexed

About

Francis Vella is a scholar working on Genetics, Economics and Econometrics and Hematology. According to data from OpenAlex, Francis Vella has authored 242 papers receiving a total of 8.4k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Genetics, 46 papers in Economics and Econometrics and 38 papers in Hematology. Recurrent topics in Francis Vella's work include Hemoglobinopathies and Related Disorders (60 papers), Iron Metabolism and Disorders (34 papers) and Labor market dynamics and wage inequality (24 papers). Francis Vella is often cited by papers focused on Hemoglobinopathies and Related Disorders (60 papers), Iron Metabolism and Disorders (34 papers) and Labor market dynamics and wage inequality (24 papers). Francis Vella collaborates with scholars based in United States, Canada and Germany. Francis Vella's co-authors include Marno Verbeek, Whitney K. Newey, Lídia Farré, James L. Powell, H. Lehmann, Mitali Das, Roger A. Klein, Roger Klein, J. A. M. Ager and Christopher L. Skeels and has published in prestigious journals such as Nature, The Lancet and Econometrica.

In The Last Decade

Francis Vella

224 papers receiving 7.7k citations

Hit Papers

The cell. A molecular app... 1994 2026 2004 2015 1998 1998 1995 1994 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Francis Vella 1.6k 1.4k 1.0k 911 623 242 8.4k
Roberto D’Amico 855 0.5× 873 0.6× 1.3k 1.3× 5.3k 5.8× 222 0.4× 231 21.9k
Robert A. Levine 3.3k 2.1× 1.3k 0.9× 1.4k 1.3× 2.9k 3.2× 102 0.2× 390 16.3k
Robert C. Ford 380 0.2× 6.5k 4.6× 138 0.1× 1.0k 1.1× 719 1.2× 258 30.4k
John P. Campbell 248 0.2× 695 0.5× 1.2k 1.2× 868 1.0× 93 0.1× 141 9.0k
Klaus F. Zimmermann 2.9k 1.8× 396 0.3× 403 0.4× 4.1k 4.5× 98 0.2× 398 8.4k
Robert W. Jackman 1.0k 0.6× 4.4k 3.1× 126 0.1× 2.9k 3.2× 369 0.6× 104 11.8k
Peter Ellis 1.3k 0.8× 10.8k 7.5× 421 0.4× 1.0k 1.1× 929 1.5× 852 37.3k
John R. Johnson 359 0.2× 2.2k 1.6× 144 0.1× 200 0.2× 546 0.9× 267 12.7k
Richard A. Johnson 1.1k 0.7× 461 0.3× 183 0.2× 551 0.6× 52 0.1× 260 13.3k
Stephan Meier 2.5k 1.5× 333 0.2× 271 0.3× 2.5k 2.8× 168 0.3× 102 8.8k

Countries citing papers authored by Francis Vella

Since Specialization
Citations

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

Fields of papers citing papers by Francis Vella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francis Vella

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

All Works

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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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