Tom Pfeifer

2.3k total citations
89 papers, 1.6k citations indexed

About

Tom Pfeifer is a scholar working on Molecular Biology, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Tom Pfeifer has authored 89 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 18 papers in Computer Networks and Communications and 12 papers in Computer Vision and Pattern Recognition. Recurrent topics in Tom Pfeifer's work include Context-Aware Activity Recognition Systems (12 papers), Insect Resistance and Genetics (9 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Tom Pfeifer is often cited by papers focused on Context-Aware Activity Recognition Systems (12 papers), Insect Resistance and Genetics (9 papers) and Viral Infectious Diseases and Gene Expression in Insects (7 papers). Tom Pfeifer collaborates with scholars based in Canada, Ireland and Germany. Tom Pfeifer's co-authors include Thomas A. Grigliatti, George G. Khachatourians, Dwayne D. Hegedus, David A. Theilmann, Yoko Shimizu, T A Grigliatti, Nicolette S. Honson, Michel Roberge, Michael Bidochka and Hilary Anderson and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Tom Pfeifer

87 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tom Pfeifer Canada	22	883	204	177	132	119	89	1.6k
Gianluca Pollastri Ireland	30	3.5k 3.9×	160 0.8×	72 0.4×	108 0.8×	59 0.5×	73	4.4k
Wei Zheng China	31	2.0k 2.3×	40 0.2×	137 0.8×	128 1.0×	147 1.2×	96	3.4k
Shuo Han China	21	2.6k 2.9×	143 0.7×	160 0.9×	134 1.0×	50 0.4×	60	3.3k
Mike Tyka United States	5	903 1.0×	27 0.1×	85 0.5×	100 0.8×	69 0.6×	5	1.8k
Alexander Rose Germany	18	2.1k 2.4×	40 0.2×	103 0.6×	299 2.3×	124 1.0×	46	3.0k
Jia‐Ming Chang Taiwan	28	2.0k 2.2×	94 0.5×	182 1.0×	101 0.8×	106 0.9×	78	3.1k
Petri Törönen Finland	19	1.5k 1.7×	48 0.2×	78 0.4×	119 0.9×	63 0.5×	40	2.3k
Tianbao Chen United Kingdom	31	2.1k 2.3×	121 0.6×	47 0.3×	496 3.8×	160 1.3×	230	3.5k
Shu‐Yu Lin Taiwan	25	1.4k 1.6×	38 0.2×	301 1.7×	67 0.5×	60 0.5×	94	2.6k

Countries citing papers authored by Tom Pfeifer

Since Specialization

Citations

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

Fields of papers citing papers by Tom Pfeifer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tom Pfeifer

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

All Works

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20 of 20 papers shown

Shapira, Tirosh, et al.. (2020). High-Content Screening of Eukaryotic Kinase Inhibitors Identify CHK2 Inhibitor Activity Against Mycobacterium tuberculosis. Frontiers in Microbiology. 11. 553962–553962. 19 indexed citations

Barreto, Kris, Wendy Bernhard, Nicolette S. Honson, et al.. (2017). Compounds producing an effective combinatorial regimen for disruption of HIV ‐1 latency. EMBO Molecular Medicine. 10(2). 160–174. 20 indexed citations

Tian, Liwen, Yunjiang Feng, Trong D. Tran, et al.. (2017). Achyrodimer F, a tyrosyl-DNA phosphodiesterase I inhibitor from an Australian fungus of the family Cortinariaceae. Bioorganic & Medicinal Chemistry Letters. 27(17). 4007–4010. 20 indexed citations

Fan, Jianjia, Wenchen Zhao, Yoko Shimizu, et al.. (2016). Identification of a Chrysanthemic Ester as an Apolipoprotein E Inducer in Astrocytes. PLoS ONE. 11(9). e0162384–e0162384. 18 indexed citations

Vezenkov, Lubomir, Nicolette S. Honson, Nag S. Kumar, et al.. (2015). Development of fluorescent peptide substrates and assays for the key autophagy-initiating cysteine protease enzyme, ATG4B. Bioorganic & Medicinal Chemistry. 23(13). 3237–3247. 33 indexed citations

Honson, Nicolette S., Tara L. Davis, Sirano Dhe‐Paganon, et al.. (2014). Development of Fluorescent Substrates and Assays for the Key Autophagy-Related Cysteine Protease Enzyme, ATG4B. Assay and Drug Development Technologies. 12(3). 176–189. 30 indexed citations

Dean, Richard A., Jianghong An, Kunho Choi, et al.. (2014). Identification of a Putative Tdp1 Inhibitor (CD00509) by in Vitro and Cell-Based Assays. SLAS DISCOVERY. 19(10). 1372–1382. 41 indexed citations

Fan, Jianjia, Yoko Shimizu, Jeniffer Chan, et al.. (2013). Hormonal modulators of glial ABCA1 and apoE levels. Journal of Lipid Research. 54(11). 3139–3150. 13 indexed citations

Pel, Derek M. van, Irene Barrett, Yoko Shimizu, et al.. (2013). An Evolutionarily Conserved Synthetic Lethal Interaction Network Identifies FEN1 as a Broad-Spectrum Target for Anticancer Therapeutic Development. PLoS Genetics. 9(1). e1003254–e1003254. 68 indexed citations

10.

Verschueren, Tom, et al.. (2012). DYAMAND: dynamic, adaptive management of networks and devices. Ghent University Academic Bibliography (Ghent University). 7 indexed citations

11.

Krishnaswamy, Dilip, et al.. (2007). Real-Time mobile multimedia services : 10th IFIP/IEEE International Conference on Management of Multimedia and Mobile Networks and Services, MMNS 2007 San José, USA, October 31 - November 2, 2007 : proceedings. Springer eBooks. 1 indexed citations

12.

Mullins, Robert, et al.. (2006). Daidalos: A Platform for Facilitating Pervasive Services. 4 indexed citations

13.

Reid, Ronald E., et al.. (2003). Human genetic variations in the 5HT2A receptor. Pharmacogenetics. 13(2). 107–118. 22 indexed citations

14.

Pfeifer, Tom, M. Marta Guarna, Emily Kwan, et al.. (2001). Expression Analysis of a Modified Factor X in Stably Transformed Insect Cell Lines. Protein Expression and Purification. 23(2). 233–241. 16 indexed citations

15.

Pfeifer, Tom, Mark Ring, & T A Grigliatti. (2000). Identification and analysis of Lydia , a LTR retrotransposon from Lymantria dispar. Insect Molecular Biology. 9(4). 349–356. 5 indexed citations

16.

Pfeifer, Tom, Dwayne D. Hegedus, Yunpo Zhao, et al.. (1999). Analysis of an insect neuropeptide,Schistocerca gregaria ion transport peptide (ITP), expressed in insect cell systems. Archives of Insect Biochemistry and Physiology. 42(4). 245–252. 6 indexed citations

17.

Popescu-Zeletin, Radu, et al.. (1998). Applying Location-Aware Computing for Electronic Commerce: Mobile Guide. 2 indexed citations

18.

Hegedus, Dwayne D., et al.. (1998). A series of broad host range shuttle vectors for constitutive and inducible expression of heterologous proteins in insect cell lines. Gene. 207(2). 241–249. 52 indexed citations

19.

Pfeifer, Tom & T A Grigliatti. (1996). Future Perspectives on Insect Pest Management: Engineering the Pest. Journal of Invertebrate Pathology. 67(2). 109–119. 18 indexed citations

20.

Hegedus, Dwayne D., et al.. (1991). Cloning and analysis of five mitochondrial tRNA-encoding genes from the fungus Beauveria bassiana. Gene. 109(1). 149–154. 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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