Frank Mandy

890 total citations
25 papers, 699 citations indexed

About

Frank Mandy is a scholar working on Molecular Biology, Virology and Immunology. According to data from OpenAlex, Frank Mandy has authored 25 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Virology and 6 papers in Immunology. Recurrent topics in Frank Mandy's work include HIV Research and Treatment (6 papers), Single-cell and spatial transcriptomics (6 papers) and Advanced Biosensing Techniques and Applications (3 papers). Frank Mandy is often cited by papers focused on HIV Research and Treatment (6 papers), Single-cell and spatial transcriptomics (6 papers) and Advanced Biosensing Techniques and Applications (3 papers). Frank Mandy collaborates with scholars based in Canada, United States and United Kingdom. Frank Mandy's co-authors include George Janossy, M. Bergeron, David Barnett, Gerd Schmitz, G. Rothe, Rodiça Lenkei, Gerald E. Marti, Deborah K. Glencross, Wendy Stevens and Stefano Papa and has published in prestigious journals such as The Lancet, Toxicological Sciences and Journal of Immunological Methods.

In The Last Decade

Frank Mandy

25 papers receiving 668 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 Mandy Canada 16 254 174 149 131 122 25 699
Francis Mandy Canada 17 306 1.2× 266 1.5× 271 1.8× 154 1.2× 192 1.6× 26 934
Shari M. Kaiser United States 11 553 2.2× 283 1.6× 187 1.3× 63 0.5× 151 1.2× 26 1.1k
Dominika Rudnicka United Kingdom 9 503 2.0× 302 1.7× 196 1.3× 54 0.4× 82 0.7× 10 954
Scott E. VanCompernolle United States 12 223 0.9× 274 1.6× 85 0.6× 96 0.7× 50 0.4× 14 671
Jennifer Vogt United States 10 175 0.7× 74 0.4× 82 0.6× 108 0.8× 39 0.3× 13 571
Donghyun Park United States 12 321 1.3× 92 0.5× 124 0.8× 57 0.4× 99 0.8× 27 716
Agnes E. Hamburger United States 13 287 1.1× 262 1.5× 63 0.4× 49 0.4× 108 0.9× 19 769
Charles H. Pletcher United States 12 196 0.8× 364 2.1× 59 0.4× 73 0.6× 50 0.4× 18 722
Guangan Hu United States 16 345 1.4× 435 2.5× 63 0.4× 40 0.3× 102 0.8× 22 1.0k
Christel Vérollet France 19 508 2.0× 277 1.6× 142 1.0× 56 0.4× 117 1.0× 34 933

Countries citing papers authored by Frank Mandy

Since Specialization
Citations

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

Fields of papers citing papers by Frank Mandy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Mandy

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Mandy. A scholar is included among the top collaborators of Frank Mandy 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 Mandy. Frank Mandy 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
1.
Kestens, Luc & Frank Mandy. (2016). Thirty‐five years of CD4 T‐cell counting in HIV infection: From flow cytometry in the lab to point‐of‐care testing in the field. Cytometry Part B Clinical Cytometry. 92(6). 437–444. 16 indexed citations
2.
Schwartz, A., et al.. (2013). Comparison and evaluation of seven different bench‐top flow cytometers with a modified six‐plexed mycotoxin kit. Cytometry Part A. 83(12). 1073–1084. 5 indexed citations
3.
Mandy, Frank, et al.. (2012). A flow cytometry based competitive fluorescent microsphere immunoassay (CFIA) system for detecting up to six mycotoxins. Journal of Immunological Methods. 384(1-2). 71–80. 33 indexed citations
4.
Tambong, James T., M. Bergeron, Ting Ding, et al.. (2008). Rapid detection and identification of the bacterium Pantoea stewartii in maize by TaqMan®real-time PCR assay targeting the cpsD gene. Journal of Applied Microbiology. 104(5). 1525–1537. 31 indexed citations
5.
Janossy, George, Frank Mandy, & Maurice R.G. O’Gorman. (2008). Diagnostics in the shadow of HIV epidemics. Cytometry Part B Clinical Cytometry. 74B(S1). S1–S3. 2 indexed citations
6.
Mandy, Frank, et al.. (2008). Affordable CD4 T-cell enumeration for resource-limited regions: A status report for 2008. Cytometry Part B Clinical Cytometry. 74B(S1). S27–S39. 38 indexed citations
7.
Denny, Thomas N., Rebecca Gelman, M. Bergeron, et al.. (2008). A North American multilaboratory study of CD4 counts using flow cytometric panleukogating (PLG): A NIAID-DAIDS Immunology Quality Assessment Program Study. Cytometry Part B Clinical Cytometry. 74B(S1). S52–S64. 22 indexed citations
8.
Shepard, Brett D., Mona Loutfy, Janet Raboud, et al.. (2008). Early Changes in T-Cell Activation Predict Antiretroviral Success in Salvage Therapy of HIV Infection. JAIDS Journal of Acquired Immune Deficiency Syndromes. 48(2). 149–155. 10 indexed citations
9.
Glencross, Deborah K., et al.. (2008). African regional external quality assessment for CD4 T-cell enumeration: Development, outcomes, and performance of laboratories. Cytometry Part B Clinical Cytometry. 74B(S1). S69–S79. 51 indexed citations
10.
Bergeron, M., Tao Ding, Janet K.A. Nicholson, et al.. (2003). Stability of currently used cytometers facilitates the identification of pipetting errors and their volumetric operation: “Time” can tell all. Cytometry Part B Clinical Cytometry. 52B(1). 37–39. 20 indexed citations
11.
Janossy, George, Ilesh Jani, Melvyn Kahan, et al.. (2002). Precise CD4 T‐cell counting using red diode laser excitation: For richer, for poorer. Cytometry. 50(2). 78–85. 42 indexed citations
12.
Bergeron, M., et al.. (2002). Selection of lymphocyte gating protocol has an impact on the level of reliability of T‐cell subsets in aging specimens. Cytometry. 50(2). 53–61. 40 indexed citations
13.
Mandy, Frank, et al.. (2001). Suspension array technology: new tools for gene and protein analysis.. PubMed. 47(7). 1241–56. 56 indexed citations
14.
Mandy, Frank & Bruno Brando. (2000). Enumeration of Absolute Cell Counts Using Immunophenotypic Techniques. Current Protocols in Cytometry. 13(1). Unit 6.8–Unit 6.8. 16 indexed citations
15.
Mandy, Frank. (1999). An introduction to a unique review article. Cytometry. 38(1). 1–1. 3 indexed citations
16.
Lenkei, Rodiça, Jan W. Gratama, G. Rothe, et al.. (1998). Performance of calibration standards for antigen quantitation with flow cytometry. Cytometry. 33(2). 188–196. 71 indexed citations
17.
Gratama, J.W., Frank Mandy, G. Rothe, et al.. (1998). Flow cytometric quantitation of immunofluorescence intensity: Problems and perspectives. Cytometry. 33(2). 166–178. 123 indexed citations
18.
Zenger, Vincent E., Robert F. Vogt, Frank Mandy, A. Schwartz, & Gerald E. Marti. (1998). Quantitative flow cytometry: Inter-laboratory variation. Cytometry. 33(2). 138–145. 54 indexed citations
19.
Perelmutter, L., M. Bergeron, & Frank Mandy. (1983). Assessment of the effect of IgG antibodies to ragweed and rye grass on the IgE antibody disc RAST.. PubMed. 50(6). 393–7. 5 indexed citations
20.
Peterson, Edward, Frank Mandy, R.F. Searle, & Richard Leblanc. (1973). REVERSAL OF CEREBRAL VASOSPASM. The Lancet. 301(7818). 1513–1513. 3 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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