Stephen M. Mahler

4.5k total citations · 1 hit paper
93 papers, 3.2k citations indexed

About

Stephen M. Mahler is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Stephen M. Mahler has authored 93 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Molecular Biology, 36 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Biomedical Engineering. Recurrent topics in Stephen M. Mahler's work include Monoclonal and Polyclonal Antibodies Research (34 papers), Protein purification and stability (18 papers) and Viral Infectious Diseases and Gene Expression in Insects (15 papers). Stephen M. Mahler is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (34 papers), Protein purification and stability (18 papers) and Viral Infectious Diseases and Gene Expression in Insects (15 papers). Stephen M. Mahler collaborates with scholars based in Australia, United States and Singapore. Stephen M. Mahler's co-authors include Christopher B. Howard, Martina L. Jones, Bradley J. Walsh, Xiao Yan He, Samuel N. Breit, Asne R. Bauskin, Richard C. Nicholson, Michelle Bootcov, Hong Ping Zhang and Kimberley Pryor and has published in prestigious journals such as Proceedings of the National Academy of Sciences, ACS Nano and Nature Biotechnology.

In The Last Decade

Stephen M. Mahler

91 papers receiving 3.1k 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.

MIC-1, a novel macrophage inhibitory cytokine, is a divergent member of the TGF-β superfamily

1997 956 citations Stephen M. Mahler, Bradley J. Walsh et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Stephen M. Mahler Australia	28	1.4k	829	724	675	576	93	3.2k
Takashi Tsuji Japan	35	2.4k 1.7×	308 0.4×	398 0.5×	398 0.6×	442 0.8×	131	4.7k
Bent Brachvogel Germany	29	1.6k 1.1×	343 0.4×	630 0.9×	108 0.2×	212 0.4×	83	3.5k
Ulf Anderegg Germany	40	1.2k 0.8×	191 0.2×	678 0.9×	160 0.2×	207 0.4×	92	3.7k
Jian Weng China	24	2.0k 1.4×	210 0.3×	159 0.2×	895 1.3×	160 0.3×	79	3.9k
Lewis H. Romer United States	42	2.8k 1.9×	108 0.1×	772 1.1×	326 0.5×	557 1.0×	79	6.6k
Kevin J. Yarema United States	43	3.9k 2.7×	178 0.2×	451 0.6×	803 1.2×	121 0.2×	108	5.2k
Sarah F. Hamm‐Alvarez United States	39	2.1k 1.5×	110 0.1×	368 0.5×	385 0.6×	851 1.5×	152	4.9k
David M. Francis United States	32	580 0.4×	2.5k 3.0×	1.6k 2.2×	229 0.3×	299 0.5×	74	4.8k
Blake J. Roessler United States	37	2.0k 1.4×	444 0.5×	351 0.5×	190 0.3×	137 0.2×	84	4.3k
Wei Ge China	40	4.5k 3.1×	168 0.2×	1.0k 1.4×	323 0.5×	385 0.7×	169	7.5k

Countries citing papers authored by Stephen M. Mahler

Since Specialization

Citations

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

Fields of papers citing papers by Stephen M. Mahler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen M. Mahler. 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 Stephen M. Mahler. The network helps show where Stephen M. Mahler may publish in the future.

Co-authorship network of co-authors of Stephen M. Mahler

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Mahler. A scholar is included among the top collaborators of Stephen M. Mahler 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 Stephen M. Mahler. Stephen M. Mahler 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

Martínez, Verónica S., Tim McCubbin, Junjie Tong, et al.. (2024). Amino acid degradation pathway inhibitory by‐products trigger apoptosis in CHO cells. Biotechnology Journal. 19(2). e2300338–e2300338. 9 indexed citations

Janowicz, Phillip W., Zachary H. Houston, Jens Bunt, et al.. (2022). Understanding nanomedicine treatment in an aggressive spontaneous brain cancer model at the stage of early blood brain barrier disruption. Biomaterials. 283. 121416–121416. 22 indexed citations

Zacchi, Lucía F., Rodrigo A. V. Morales, Alexander Karnowski, et al.. (2022). Evaluation of Phage Display Biopanning Strategies for the Selection of Anti-Cell Surface Receptor Antibodies. International Journal of Molecular Sciences. 23(15). 8470–8470. 13 indexed citations

MacDonald, M. A., Verónica S. Martínez, Evan Shave, et al.. (2022). Engineering death resistance in CHO cells for improved perfusion culture. mAbs. 14(1). 2083465–2083465. 13 indexed citations

MacDonald, M. A., Verónica S. Martínez, Benjamin L. Schulz, et al.. (2021). Perfusion culture of Chinese Hamster Ovary cells for bioprocessing applications. Critical Reviews in Biotechnology. 42(7). 1099–1115. 31 indexed citations

Navone, Laura, et al.. (2021). Disulfide bond engineering of AppA phytase for increased thermostability requires co-expression of protein disulfide isomerase in Pichia pastoris. Biotechnology for Biofuels. 14(1). 80–80. 31 indexed citations

Sivaram, Amal J., Andri Wardiana, Sheilajen Alcântara, et al.. (2020). Controlling the Biological Fate of Micellar Nanoparticles: Balancing Stealth and Targeting. ACS Nano. 14(10). 13739–13753. 36 indexed citations

Simpson, Joshua D., Adrian V. Fuchs, T.K. Venkatachalam, et al.. (2020). Targeted and modular architectural polymers employing bioorthogonal chemistry for quantitative therapeutic delivery. Chemical Science. 11(12). 3268–3280. 25 indexed citations

Lund, Maria E., Christopher B. Howard, Kristofer J. Thurecht, et al.. (2020). A bispecific T cell engager targeting Glypican-1 redirects T cell cytolytic activity to kill prostate cancer cells. BMC Cancer. 20(1). 1214–1214. 14 indexed citations

10.

Houston, Zachary H., Jens Bunt, Kok‐Siong Chen, et al.. (2020). Understanding the Uptake of Nanomedicines at Different Stages of Brain Cancer Using a Modular Nanocarrier Platform and Precision Bispecific Antibodies. ACS Central Science. 6(5). 727–738. 43 indexed citations

11.

Alfaleh, Mohamed A., Hashem O. Alsaab, Ahmad Bakur Mahmoud, et al.. (2020). Phage Display Derived Monoclonal Antibodies: From Bench to Bedside. Frontiers in Immunology. 11. 1986–1986. 179 indexed citations

12.

Howard, Christopher B., Yadveer S. Grewal, Ramanathan Vaidyanathan, et al.. (2019). Retooling phage display with electrohydrodynamic nanomixing and nanopore sequencing. Lab on a Chip. 19(24). 4083–4092. 11 indexed citations

13.

Cui, Jiwei, Yi Ju, Zachary H. Houston, et al.. (2019). Modulating Targeting of Poly(ethylene glycol) Particles to Tumor Cells Using Bispecific Antibodies. Advanced Healthcare Materials. 8(9). e1801607–e1801607. 43 indexed citations

14.

Tang, Jie, Bei Li, Christopher B. Howard, et al.. (2019). Multifunctional lipid-coated calcium phosphate nanoplatforms for complete inhibition of large triple negative breast cancer via targeted combined therapy. Biomaterials. 216. 119232–119232. 34 indexed citations

15.

Linley, Stephanie B., et al.. (2019). Prefrontal Pathways Provide Top-Down Control of Memory for Sequences of Events. Cell Reports. 28(3). 640–654.e6. 59 indexed citations

16.

Jones, Martina L., Mohamed A. Alfaleh, Shuo Zhang, et al.. (2016). Targeting membrane proteins for antibody discovery using phage display. Scientific Reports. 6(1). 26240–26240. 62 indexed citations

17.

Howard, Christopher B., Nicholas L. Fletcher, Zachary H. Houston, et al.. (2016). Targeted Nanomaterials: Overcoming Instability of Antibody‐Nanomaterial Conjugates: Next Generation Targeted Nanomedicines Using Bispecific Antibodies (Adv. Healthcare Mater. 16/2016). Advanced Healthcare Materials. 5(16). 1994–1994. 3 indexed citations

18.

Buecheler, Jakob W., Christopher B. Howard, Christopher J. de Bakker, et al.. (2014). Development of a protein nanoparticle platform for targeting EGFR expressing cancer cells. Journal of Chemical Technology & Biotechnology. 90(7). 1230–1236. 12 indexed citations

19.

Diao, Mengxue, Elena Taran, Stephen M. Mahler, Tuan A.H. Nguyen, & Anh V. Nguyen. (2013). Quantifying adhesion of acidophilic bioleaching bacteria to silica and pyrite by atomic force microscopy with a bacterial probe. Colloids and Surfaces B Biointerfaces. 115. 229–236. 35 indexed citations

20.

Mahler, Stephen M., Christopher P. Marquis, Gary Brown, A. J. Roberts, & Hennie R. Hoogenboom. (1997). Cloning and expression of human V-genes derived from phage display libraries as fully assembled human anti-TNFα monoclonal antibodies. Immunotechnology. 3(1). 31–43. 15 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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