Rick Wiese

570 total citations
11 papers, 411 citations indexed

About

Rick Wiese is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Spectroscopy. According to data from OpenAlex, Rick Wiese has authored 11 papers receiving a total of 411 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Spectroscopy. Recurrent topics in Rick Wiese's work include Advanced Biosensing Techniques and Applications (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Rick Wiese is often cited by papers focused on Advanced Biosensing Techniques and Applications (8 papers), Monoclonal and Polyclonal Antibodies Research (4 papers) and Advanced biosensing and bioanalysis techniques (4 papers). Rick Wiese collaborates with scholars based in United States, Mexico and Germany. Rick Wiese's co-authors include Yuri Belosludtsev, Mike Hogan, Patricia Thompson, James Gilmore, Sun W. Tam, Sandy Lee, Krishnanand D. Kumble, Sandy Lee, Michael Shi and Steve Daniel and has published in prestigious journals such as The Journal of Immunology, Analytical Biochemistry and The FASEB Journal.

In The Last Decade

Rick Wiese

11 papers receiving 395 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rick Wiese United States 9 342 145 125 36 31 11 411
Pavel Landsman United States 6 251 0.7× 75 0.5× 132 1.1× 28 0.8× 21 0.7× 7 347
Jae‐Wan Jung South Korea 11 257 0.8× 174 1.2× 74 0.6× 15 0.4× 75 2.4× 17 346
Thomas M. Spitznagel United States 8 487 1.4× 160 1.1× 220 1.8× 17 0.5× 23 0.7× 9 566
Alexander Nesterov Germany 8 210 0.6× 81 0.6× 93 0.7× 27 0.8× 40 1.3× 15 306
Robert Polakowski Canada 11 236 0.7× 144 1.0× 24 0.2× 59 1.6× 17 0.5× 13 443
Kerstin Järås Sweden 9 131 0.4× 235 1.6× 49 0.4× 36 1.0× 68 2.2× 10 356
Alexander P. Petrov Canada 8 400 1.2× 283 2.0× 33 0.3× 34 0.9× 53 1.7× 11 555
Lajos Nyársik Germany 7 260 0.8× 133 0.9× 55 0.4× 40 1.1× 25 0.8× 14 366
Jaeyong Jung South Korea 15 240 0.7× 139 1.0× 155 1.2× 29 0.8× 31 1.0× 55 458
Jorge Wong United States 9 219 0.6× 328 2.3× 32 0.3× 16 0.4× 40 1.3× 14 460

Countries citing papers authored by Rick Wiese

Since Specialization
Citations

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

Fields of papers citing papers by Rick Wiese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rick Wiese

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

All Works

11 of 11 papers shown
1.
Hargrave, Aubrey, et al.. (2007). Antibody microarray analysis of inflammatory mediator release by human leukemia T cells and human non-small cell lung cancer cells (96.28). The Journal of Immunology. 178(1_Supplement). S188–S188. 1 indexed citations
2.
Hargrave, Aubrey, et al.. (2007). Antibody microarray analysis of inflammatory mediator release by human leukemia T-cells and human non small cell lung cancer cells.. PubMed. 18(4). 245–51. 19 indexed citations
4.
Nowell, Susan, Bridgett Green, Yong Tang, Rick Wiese, & Fred F. Kadlubar. (2004). Examination of Human Tissue Cytosols for Expression of Sulfotransferase Isoform 1A2 (SULT1A2) Using a SULT1A2-Specific Antibody. Molecular Pharmacology. 67(2). 394–399. 15 indexed citations
5.
Wiese, Rick. (2002). Analysis of several fluorescent detector molecules for protein microarray use. Luminescence. 18(1). 25–30. 31 indexed citations
6.
Tam, Sun W., Rick Wiese, Sandy Lee, James Gilmore, & Krishnanand D. Kumble. (2002). Simultaneous analysis of eight human Th1/Th2 cytokines using microarrays. Journal of Immunological Methods. 261(1-2). 157–165. 63 indexed citations
7.
Belosludtsev, Yuri, et al.. (2001). DNA Microarrays Based on Noncovalent Oligonucleotide Attachment and Hybridization in Two Dimensions. Analytical Biochemistry. 292(2). 250–256. 67 indexed citations
8.
Belosludtsev, Yuri, et al.. (2001). Nearly Instantaneous, Cation-Independent, High Selectivity Nucleic Acid Hybridization to DNA Microarrays. Biochemical and Biophysical Research Communications. 282(5). 1263–1267. 21 indexed citations
9.
Wiese, Rick, et al.. (2001). Simultaneous Multianalyte ELISA Performed on a Microarray Platform. Clinical Chemistry. 47(8). 1451–1457. 133 indexed citations
10.
Wiese, Rick, Sandy Lee, Sun W. Tam, et al.. (2001). High-Throughput Genomic and Proteomic Analysis Using Microarray Technology. Clinical Chemistry. 47(10). 1912–1916. 45 indexed citations
11.
Acker, L. & Rick Wiese. (1972). Über das Verhalten der Lipase in wasserarmen Systemen. European Food Research and Technology. 150(4). 205–211. 6 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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