Tim Tressel

1.6k total citations · 1 hit paper
15 papers, 1.2k citations indexed

About

Tim Tressel is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy. According to data from OpenAlex, Tim Tressel has authored 15 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Immunology and Allergy. Recurrent topics in Tim Tressel's work include Protein purification and stability (9 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Tim Tressel is often cited by papers focused on Protein purification and stability (9 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers) and Monoclonal and Polyclonal Antibodies Research (7 papers). Tim Tressel collaborates with scholars based in United States and Germany. Tim Tressel's co-authors include Sam Guhan, Abhinav Shukla, Duncan Low, Brian Hubbard, Jianxin Zhou, Joe Zhou, Leodis Davis, Xiaoming Yang, Lynn R. Zieske and Margarita Menéndez and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Virology and Biochemical Journal.

In The Last Decade

Tim Tressel

15 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Downstream processing of monoclonal antibodies—Application of platform approaches

2007 659 citations Abhinav Shukla, Brian Hubbard et al. Journal of Chromatography B profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Tressel United States	13	1.0k	669	208	85	58	15	1.2k
Duncan Low United Kingdom	8	1.1k 1.0×	762 1.1×	199 1.0×	83 1.0×	62 1.1×	8	1.2k
Anne Tscheließnig Austria	15	760 0.7×	412 0.6×	232 1.1×	121 1.4×	45 0.8×	21	867
Vladka Gaberc‐Porekar Slovenia	7	673 0.6×	203 0.3×	102 0.5×	89 1.0×	90 1.6×	13	891
Marcella Yu United States	10	846 0.8×	378 0.6×	161 0.8×	42 0.5×	31 0.5×	14	928
Robert Fahrner United States	16	1.2k 1.1×	750 1.1×	286 1.4×	152 1.8×	42 0.7×	19	1.2k
Michael Mølhøj Germany	20	850 0.8×	486 0.7×	196 0.9×	132 1.6×	32 0.6×	26	1.3k
Elisabeth Wenisch Italy	15	372 0.4×	114 0.2×	260 1.3×	166 2.0×	30 0.5×	24	601
Thomas K. Villiger Switzerland	15	656 0.6×	225 0.3×	257 1.2×	17 0.2×	18 0.3×	28	784
Frank Riske United States	9	583 0.6×	275 0.4×	169 0.8×	29 0.3×	17 0.3×	17	817
Brad Snedecor United States	19	1.1k 1.1×	607 0.9×	186 0.9×	21 0.2×	23 0.4×	38	1.3k

Countries citing papers authored by Tim Tressel

Since Specialization

Citations

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

Fields of papers citing papers by Tim Tressel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tim Tressel

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

All Works

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15 of 15 papers shown

Lu, Yuefeng, et al.. (2012). Risk–benefit evaluation of on-line high-performance liquid chromatography analysis for pooling decisions in large-scale chromatography. Journal of Chromatography A. 1241. 37–45. 19 indexed citations

Zhou, Joe, et al.. (2008). Implementation of advanced technologies in commercial monoclonal antibody production. Biotechnology Journal. 3(9-10). 1185–1200. 26 indexed citations

Zhou, Joe, et al.. (2008). Viral clearance using disposable systems in monoclonal antibody commercial downstream processing. Biotechnology and Bioengineering. 100(3). 488–496. 41 indexed citations

Zhou, Jianxin, Jian‐Ding Qiu, Guohua Jiang, et al.. (2008). Non-specific binding and saturation of Polysorbate-20 with aseptic filter membranes for drug substance and drug product during mAb production. Journal of Membrane Science. 325(2). 735–741. 27 indexed citations

Shukla, Abhinav, Brian Hubbard, Tim Tressel, Sam Guhan, & Duncan Low. (2007). Downstream processing of monoclonal antibodies—Application of platform approaches. Journal of Chromatography B. 848(1). 28–39. 659 indexed citations breakdown →

Zhou, Joe, et al.. (2007). pH–conductivity hybrid gradient cation-exchange chromatography for process-scale monoclonal antibody purification. Journal of Chromatography A. 1175(1). 69–80. 39 indexed citations

Li, Feng, Brian Lee, Joe Zhou, Tim Tressel, & Xiaoming Yang. (2006). Current Therapeutic Antibody Production and Process Optimization. BioProcessing Journal. 5(4). 16–25. 42 indexed citations

Zhou, Joe, et al.. (2006). New Q membrane scale-down model for process-scale antibody purification. Journal of Chromatography A. 1134(1-2). 66–73. 58 indexed citations

Zhou, Jianxin & Tim Tressel. (2006). Basic Concepts in Q Membrane Chromatography for Large-Scale Antibody Production. Biotechnology Progress. 22(2). 341–349. 147 indexed citations

10.

Hecht, Randy, et al.. (1996). Preparative Electrofocusing for Industrial Applications. Preparative Biochemistry & Biotechnology. 26(3-4). 201–216. 4 indexed citations

11.

Tressel, Tim, James B. McCarthy, Jimmy Calaycay, et al.. (1991). Human plasma fibronectin. Demonstration of structural differences between the A- and B-chains in the III CS region. Biochemical Journal. 274(3). 731–738. 17 indexed citations

12.

Pande, Hema, et al.. (1990). Altered expression of fibronectin gene in cells infected with human cytomegalovirus. Journal of Virology. 64(3). 1366–1369. 13 indexed citations

13.

Tressel, Tim, John E. Shively, & Hema Pande. (1988). Human placental fibronectin: Demonstration of structural differences between the A and B chains in the extra domain-A region. Archives of Biochemistry and Biophysics. 266(2). 639–643. 3 indexed citations

14.

Tressel, Tim, et al.. (1986). Purification and properties of aminoacetone synthetase from beef liver mitochondria.. Journal of Biological Chemistry. 261(26). 12189–12196. 13 indexed citations

15.

Tressel, Tim, Robert P. Thompson, Lynn R. Zieske, Margarita Menéndez, & Leodis Davis. (1986). Interaction between L-threonine dehydrogenase and aminoacetone synthetase and mechanism of aminoacetone production.. Journal of Biological Chemistry. 261(35). 16428–16437. 63 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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