Frank Vella

514 total citations
14 papers, 332 citations indexed

About

Frank Vella is a scholar working on Molecular Biology, Political Science and International Relations and Virology. According to data from OpenAlex, Frank Vella has authored 14 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Molecular Biology, 1 paper in Political Science and International Relations and 1 paper in Virology. Recurrent topics in Frank Vella's work include Statistical Methods and Bayesian Inference (1 paper), Economic Policies and Impacts (1 paper) and HIV Research and Treatment (1 paper). Frank Vella is often cited by papers focused on Statistical Methods and Bayesian Inference (1 paper), Economic Policies and Impacts (1 paper) and HIV Research and Treatment (1 paper). Frank Vella collaborates with scholars based in United States and Canada. Frank Vella's co-authors include Adrian Pagan, Rodney Maddock, S.M. Collins, Teresa K. Attwood, James M. Oleske, Thomas N. Denny, John Stirling, Richard Cammack and Wai‐Man Wong and has published in prestigious journals such as The Review of Economics and Statistics, Economics Letters and Journal of Applied Econometrics.

In The Last Decade

Frank Vella

10 papers receiving 289 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Vella United States 7 189 51 39 39 33 14 332
Lawrence Olson United States 4 182 1.0× 63 1.2× 22 0.6× 54 1.4× 47 1.4× 12 348
Simon Freyaldenhoven United States 4 151 0.8× 39 0.8× 28 0.7× 18 0.5× 44 1.3× 6 276
Michael A. Boozer United States 8 254 1.3× 133 2.6× 19 0.5× 13 0.3× 45 1.4× 11 495
Amita Majumder India 12 264 1.4× 197 3.9× 10 0.3× 34 0.9× 61 1.8× 46 463
Leandro M. Magnusson Australia 7 123 0.7× 52 1.0× 21 0.5× 15 0.4× 84 2.5× 20 265
Michal Kolesár United States 9 156 0.8× 69 1.4× 144 3.7× 8 0.2× 61 1.8× 28 417
John M Heineke United States 9 199 1.1× 211 4.1× 7 0.2× 24 0.6× 24 0.7× 24 445
Andrés Ramírez Hassan Colombia 7 136 0.7× 78 1.5× 5 0.1× 14 0.4× 43 1.3× 64 266
Thomas W. Zuehlke United States 11 431 2.3× 66 1.3× 25 0.6× 5 0.1× 83 2.5× 23 524
Kangoh Lee United States 13 400 2.1× 76 1.5× 6 0.2× 39 1.0× 7 0.2× 66 556

Countries citing papers authored by Frank Vella

Since Specialization
Citations

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

Fields of papers citing papers by Frank Vella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Vella

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

All Works

14 of 14 papers shown
1.
Attwood, Teresa K., et al.. (2006). Oxford Dictionary of Biochemistry and Molecular Biology, Second Edition.. Research Explorer (The University of Manchester). 8 indexed citations
2.
Vella, Frank. (2004). Fundamentals of medicinal chemistry: Thomas, G.. Biochemistry and Molecular Biology Education. 32(3). 211–211. 1 indexed citations
3.
Vella, Frank. (2003). Is there an answer? The Maximum Size of Glycogen Molecules. IUBMB Life. 55(2). 109–110. 1 indexed citations
4.
Vella, Frank. (2002). Introduction to microbiology. Biochemistry and Molecular Biology Education. 30(2). 141–142. 9 indexed citations
5.
Vella, Frank. (2002). Concepts in biochemistry (2nd ed.). Biochemistry and Molecular Biology Education. 30(2). 2 indexed citations
6.
Vella, Frank. (2002). Is There an Answer?. IUBMB Life. 53(3). 183–184. 1 indexed citations
7.
Vella, Frank. (2000). 18th International Congress of Biochemistry and Molecular Biology. IUBMB Life. 50(2). 83–83.
8.
Vella, Frank. (1999). Standards for the Ph.D. Degree in the Molecular Biosciences. IUBMB Life. 48(6). 567–576.
9.
Vella, Frank. (1999). From the General Secretary. IUBMB Life. 48(3). 245–246. 1 indexed citations
10.
Denny, Thomas N., et al.. (1995). Determination of CD4 and CD8 lymphocyte subsets by a new alternative fluorescence immunoassay. Clinical and Diagnostic Laboratory Immunology. 2(3). 330–336. 7 indexed citations
11.
Maddock, Rodney, et al.. (1992). Estimating Electricity Demand: The Cost of Linearising the Budget Constraint. The Review of Economics and Statistics. 74(2). 350–350. 24 indexed citations
12.
Vella, Frank & S.M. Collins. (1990). The value of youth: equalizing age differentials in marriages. Applied Economics. 22(3). 359–373. 8 indexed citations
13.
Pagan, Adrian & Frank Vella. (1989). Diagnostic tests for models based on individual data: A survey. Journal of Applied Econometrics. 4(S1). S29–S59. 257 indexed citations
14.
Vella, Frank. (1988). Generating conditional expectations from models with selectivity bias. Economics Letters. 28(1). 97–103. 13 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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