Andrew Marks

577 total citations
22 papers, 390 citations indexed

About

Andrew Marks is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and Surgery. According to data from OpenAlex, Andrew Marks has authored 22 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in General Economics, Econometrics and Finance, 6 papers in Economics and Econometrics and 5 papers in Surgery. Recurrent topics in Andrew Marks's work include Global trade and economics (9 papers), Pediatric Urology and Nephrology Studies (4 papers) and Urological Disorders and Treatments (4 papers). Andrew Marks is often cited by papers focused on Global trade and economics (9 papers), Pediatric Urology and Nephrology Studies (4 papers) and Urological Disorders and Treatments (4 papers). Andrew Marks collaborates with scholars based in United States, Australia and Canada. Andrew Marks's co-authors include Joel M.H. Teichman, Earl Y. Cheng, Derek J. Matoka, Arun K. Sharma, Matthew I. Bury, Natalie J. Fuller, Andrew E. MacNeily, Siavash Jafari, Kourosh Afshar and Natalie Tapaskar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cochrane Database of Systematic Reviews and The Journal of Urology.

In The Last Decade

Andrew Marks

20 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Marks United States 8 176 142 114 92 80 22 390
Suzie Venn United Kingdom 7 191 1.1× 283 2.0× 96 0.8× 28 0.3× 57 0.7× 11 442
Andrew M. Higgins United States 10 248 1.4× 34 0.2× 183 1.6× 20 0.2× 38 0.5× 19 402
Norman Dublin Malaysia 9 225 1.3× 253 1.8× 71 0.6× 20 0.2× 40 0.5× 26 440
Jonathan F. Kalisvaart United States 8 117 0.7× 210 1.5× 31 0.3× 9 0.1× 68 0.8× 16 309
Devon C. Snow-Lisy United States 8 157 0.9× 157 1.1× 63 0.6× 14 0.2× 58 0.7× 17 347
A.E. MacKinnon United Kingdom 13 314 1.8× 159 1.1× 75 0.7× 7 0.1× 67 0.8× 57 467
L D'Alessandro Italy 11 463 2.6× 22 0.2× 137 1.2× 78 0.8× 16 0.2× 26 633
Tibério M. Siqueira United States 14 165 0.9× 173 1.2× 366 3.2× 21 0.2× 92 1.1× 20 526
Fulvia Del Conte Italy 12 311 1.8× 100 0.7× 165 1.4× 9 0.1× 131 1.6× 37 457
Paurush Babbar United States 11 252 1.4× 93 0.7× 112 1.0× 17 0.2× 34 0.4× 25 406

Countries citing papers authored by Andrew Marks

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Marks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Marks

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

All Works

20 of 20 papers shown
2.
Marks, Andrew. (2020). TRADE LIBERALIZATION AND ITS IMPACT ON THE STRUCTURE OF INVESTMENT IN THE AUSTRALIAN MANUFACTURING SECTOR. The Singapore Economic Review. 69(7). 2035–2053.
3.
Marks, Andrew. (2016). Measuring the Success of Industrial Policy in Australia. World Economy. 17(4). 75–105. 1 indexed citations
4.
Sharma, Arun K., Matthew I. Bury, Natalie J. Fuller, et al.. (2013). Cotransplantation with specific populations of spina bifida bone marrow stem/progenitor cells enhances urinary bladder regeneration. Proceedings of the National Academy of Sciences. 110(10). 4003–4008. 64 indexed citations
6.
Bauschard, Michael J., Max Maizels, Andrew J. Kirsch, et al.. (2012). Computer-Enhanced Visual Learning Method to Teach Endoscopic Correction of Vesicoureteral Reflux: An Invitation to Residency Training Programs to Utilize the CEVL Method. Advances in Urology. 2012. 1–8. 5 indexed citations
7.
Matoka, Derek J., et al.. (2012). Utilization of computer enhanced visual learning (CEVL) method improves endoscopic diagnosis of posterior urethral valves (PUV). Journal of Pediatric Urology. 9(4). 498–502. 5 indexed citations
8.
Marks, Andrew, et al.. (2012). Models of Care for Vesicoureteral Reflux With and Without an End Point of Reflux Resolution: A Computer Cost Analysis. The Journal of Urology. 189(6). 2287–2292. 5 indexed citations
9.
Marks, Andrew, et al.. (2012). Published Surgical Success Rates in Pediatric Urology—Fact or Fiction?. The Journal of Urology. 188(4S). 1643–1648. 15 indexed citations
10.
Marks, Andrew, et al.. (2012). Definition of Reliable, Objective Criteria by Abdominal Radiography to Identify Occult Constipation in Children with Lower Urinary Tract Symptoms. The Journal of Urology. 189(4). 1519–1523. 7 indexed citations
11.
Marks, Andrew, Max Maizels, Elizabeth B. Yerkes, et al.. (2010). Effectiveness of the computer enhanced visual learning method in teaching the society for fetal urology hydronephrosis grading system for urology trainees. Journal of Pediatric Urology. 7(2). 113–117. 11 indexed citations
12.
Sharma, Arun K., Matthew I. Bury, Andrew Marks, et al.. (2010). A Nonhuman Primate Model for Urinary Bladder Regeneration Using Autologous Sources of Bone Marrow-Derived Mesenchymal Stem Cells. Stem Cells. 29(2). 241–250. 80 indexed citations
13.
Marks, Andrew. (2009). The globalisation of the Australian passenger motor vehicle industry: lessons for other countries. Global Business and Economics Review. 11(2). 116–116. 1 indexed citations
14.
Paul, Satya & Andrew Marks. (2009). MODELLING PRODUCTIVITY EFFECTS OF TRADE OPENNESS: A DUAL APPROACH*. Australian Economic Papers. 48(2). 105–123. 4 indexed citations
15.
Marks, Andrew. (2009). Intra‐Industry Trade and Adjustment Costs in the Australian Textile, Clothing and Footwear and Motor Vehicle Industries: A Comparative Case Study Approach*. Economic Papers A journal of applied economics and policy. 28(4). 323–336. 8 indexed citations
16.
Marks, Andrew, Adam C. Mues, Bodo E. Knudsen, & Joel M.H. Teichman. (2008). Holmium:Yttrium-Aluminum-Garnet Lithotripsy Proximal Fiber Failures From Laser and Fiber Mismatch. Urology. 71(6). 1049–1051. 20 indexed citations
17.
Marks, Andrew, Adam C. Mues, Bodo E. Knudsen, & Joel M.H. Teichman. (2007). POD-02.01: Holmium: YAG incompatibility between lasers and fibers. Urology. 70(3). 5–5. 1 indexed citations
18.
Marks, Andrew & Joel M.H. Teichman. (2007). Lasers in clinical urology: state of the art and new horizons. World Journal of Urology. 25(3). 227–233. 97 indexed citations
19.
Hart, Neil & Andrew Marks. (1999). Australia’s Current Account Deficit, National Savings and Industry Policy. The Economic and Labour Relations Review. 10(2). 278–295. 2 indexed citations
20.
Marks, Andrew & Mehdi Sadeghi. (1998). Testing the Olson Hypothesis within the Australian Context. Australian Economic Review. 31(2). 130–144. 2 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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