Emily K. Makowski

816 total citations
22 papers, 480 citations indexed

About

Emily K. Makowski is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Immunology. According to data from OpenAlex, Emily K. Makowski has authored 22 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Molecular Biology and 6 papers in Immunology. Recurrent topics in Emily K. Makowski's work include Monoclonal and Polyclonal Antibodies Research (21 papers), Protein purification and stability (13 papers) and Glycosylation and Glycoproteins Research (6 papers). Emily K. Makowski is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (21 papers), Protein purification and stability (13 papers) and Glycosylation and Glycoproteins Research (6 papers). Emily K. Makowski collaborates with scholars based in United States, France and Israel. Emily K. Makowski's co-authors include Peter M. Tessier, Lina Wu, Alec A. Desai, John S. Schardt, Matthew D. Smith, Jennifer M. Zupancic, Priyanka Gupta, Yulei Zhang, Jie Huang and Mayara Garcia de Mattos Barbosa and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Bioinformatics.

In The Last Decade

Emily K. Makowski

22 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emily K. Makowski United States	15	357	347	83	71	49	22	480
Rahel Frick United States	11	261 0.7×	251 0.7×	144 1.7×	41 0.6×	48 1.0×	16	462
Lilia A. Rabia United States	7	216 0.6×	259 0.7×	87 1.0×	27 0.4×	20 0.4×	8	327
Isabelle Caffry United States	8	630 1.8×	660 1.9×	160 1.9×	20 0.3×	68 1.4×	9	761
Irina Burnina United States	13	286 0.8×	460 1.3×	92 1.1×	16 0.2×	41 0.8×	15	526
Kathryn E. Tiller United States	6	273 0.8×	301 0.9×	64 0.8×	12 0.2×	43 0.9×	6	386
Jordan R. Willis United States	13	289 0.8×	339 1.0×	310 3.7×	56 0.8×	43 0.9×	17	658
Simon Friedensohn Switzerland	9	270 0.8×	343 1.0×	251 3.0×	47 0.7×	62 1.3×	11	526
Christine Bee United States	12	167 0.5×	300 0.9×	111 1.3×	63 0.9×	123 2.5×	19	485
Yao Yu United States	9	612 1.7×	630 1.8×	159 1.9×	17 0.2×	58 1.2×	13	733
L. Mitchell United Kingdom	5	288 0.8×	302 0.9×	65 0.8×	14 0.2×	27 0.6×	15	390

Countries citing papers authored by Emily K. Makowski

Since Specialization

Citations

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

Fields of papers citing papers by Emily K. Makowski

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily K. Makowski. 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 Emily K. Makowski. The network helps show where Emily K. Makowski may publish in the future.

Co-authorship network of co-authors of Emily K. Makowski

This figure shows the co-authorship network connecting the top 25 collaborators of Emily K. Makowski. A scholar is included among the top collaborators of Emily K. Makowski 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 Emily K. Makowski. Emily K. Makowski 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

Desai, Alec A., Jennifer M. Zupancic, Hanna Trzeciakiewicz, et al.. (2025). Facile generation of drug-like conformational antibodies specific for amyloid fibrils. Nature Chemical Biology. 21(6). 916–925. 1 indexed citations

Makowski, Emily K., Lina Wu, Jie Huang, et al.. (2024). Reduction of monoclonal antibody viscosity using interpretable machine learning. mAbs. 16(1). 2303781–2303781. 16 indexed citations

Zhang, Yulei, Matthew D. Smith, Alec A. Desai, et al.. (2024). Human antibody polyreactivity is governed primarily by the heavy-chain complementarity-determining regions. Cell Reports. 43(10). 114801–114801. 4 indexed citations

Smith, Matthew D., et al.. (2023). Position-Specific Enrichment Ratio Matrix scores predict antibody variant properties from deep sequencing data. Bioinformatics. 39(9). 2 indexed citations

Makowski, Emily K., Jennifer M. Zupancic, Jie Huang, et al.. (2023). Optimization of therapeutic antibodies for reduced self-association and non-specific binding via interpretable machine learning. Nature Biomedical Engineering. 8(1). 45–56. 21 indexed citations

Noronha, Ashish, Moshit Lindzen, Emily K. Makowski, et al.. (2023). Computational optimization of antibody humanness and stability by systematic energy-based ranking. Nature Biomedical Engineering. 8(1). 30–44. 19 indexed citations

Zupancic, Jennifer M., Matthew D. Smith, Hanna Trzeciakiewicz, et al.. (2023). Quantitative flow cytometric selection of tau conformational nanobodies specific for pathological aggregates. Frontiers in Immunology. 14. 1164080–1164080. 5 indexed citations

Makowski, Emily K., Hongwei Chen, Matthew Lambert, et al.. (2022). Reduction of therapeutic antibody self-association using yeast-display selections and machine learning. mAbs. 14(1). 2146629–2146629. 18 indexed citations

Makowski, Emily K., Jie Huang, Lina Wu, et al.. (2022). Co-optimization of therapeutic antibody affinity and specificity using machine learning models that generalize to novel mutational space. Nature Communications. 13(1). 3788–3788. 91 indexed citations

10.

Gupta, Priyanka, Emily K. Makowski, Sandeep Kumar, et al.. (2022). Antibodies with Weakly Basic Isoelectric Points Minimize Trade-offs between Formulation and Physiological Colloidal Properties. Molecular Pharmaceutics. 19(3). 775–787. 26 indexed citations

11.

Makowski, Emily K., John S. Schardt, Matthew D. Smith, & Peter M. Tessier. (2022). Mutational analysis of SARS-CoV-2 variants of concern reveals key tradeoffs between receptor affinity and antibody escape. PLoS Computational Biology. 18(5). e1010160–e1010160. 14 indexed citations

12.

Zupancic, Jennifer M., John S. Schardt, Alec A. Desai, et al.. (2021). Engineered Multivalent Nanobodies Potently and Broadly Neutralize SARS‐CoV‐2 Variants. Advanced Therapeutics. 4(8). 2100099–2100099. 30 indexed citations

13.

Makowski, Emily K., Lina Wu, Priyanka Gupta, & Peter M. Tessier. (2021). Discovery-stage identification of drug-like antibodies using emerging experimental and computational methods. mAbs. 13(1). 1895540–1895540. 41 indexed citations

14.

Makowski, Emily K., Lina Wu, Alec A. Desai, & Peter M. Tessier. (2021). Highly sensitive detection of antibody nonspecific interactions using flow cytometry. mAbs. 13(1). 1951426–1951426. 26 indexed citations

15.

Makowski, Emily K., John S. Schardt, & Peter M. Tessier. (2021). Improving antibody drug development using bionanotechnology. Current Opinion in Biotechnology. 74. 137–145. 7 indexed citations

16.

Starr, Charles G., Emily K. Makowski, Lina Wu, et al.. (2021). Ultradilute Measurements of Self-Association for the Identification of Antibodies with Favorable High-Concentration Solution Properties. Molecular Pharmaceutics. 18(7). 2744–2753. 27 indexed citations

17.

Zupancic, Jennifer M., Alec A. Desai, John S. Schardt, et al.. (2021). Directed evolution of potent neutralizing nanobodies against SARS-CoV-2 using CDR-swapping mutagenesis. Cell chemical biology. 28(9). 1379–1388.e7. 32 indexed citations

18.

Schardt, John S., Alec A. Desai, Kyong Soo Park, et al.. (2021). Discovery and characterization of high-affinity, potent SARS-CoV-2 neutralizing antibodies via single B cell screening. Scientific Reports. 11(1). 20738–20738. 16 indexed citations

19.

Lou, Wenjia, Alec A. Desai, Emily K. Makowski, et al.. (2020). Directed evolution of conformation‐specific antibodies for sensitive detection of polypeptide aggregates in therapeutic drug formulations. Biotechnology and Bioengineering. 118(2). 797–808. 5 indexed citations

20.

Lee, Chang‐Han, Tae Hyun Kang, Ophélie Godon, et al.. (2019). An engineered human Fc domain that behaves like a pH-toggle switch for ultra-long circulation persistence. Nature Communications. 10(1). 5031–5031. 54 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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