Isabelle Caffry

1.1k total citations · 1 hit paper
9 papers, 761 citations indexed

About

Isabelle Caffry is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Isabelle Caffry has authored 9 papers receiving a total of 761 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Immunology. Recurrent topics in Isabelle Caffry's work include Monoclonal and Polyclonal Antibodies Research (9 papers), Protein purification and stability (9 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Isabelle Caffry is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), Protein purification and stability (9 papers) and Viral Infectious Diseases and Gene Expression in Insects (3 papers). Isabelle Caffry collaborates with scholars based in United States, India and Germany. Isabelle Caffry's co-authors include Yingda Xu, Tingwan Sun, Tushar Jain, Yao Yu, Heather Lynaugh, Maximiliano Vásquez, Yuan Cao, Michael E. Brown, K. Dane Wittrup and Juergen H. Nett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and mAbs.

In The Last Decade

Isabelle Caffry

9 papers receiving 691 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.

Biophysical properties of the clinical-stage antibody landscape

2017 412 citations Tushar Jain, Tingwan Sun et al. Proceedings of the National Academy of Sciences profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Isabelle Caffry United States	8	660	630	160	68	57	9	761
Yao Yu United States	9	630 1.0×	612 1.0×	159 1.0×	58 0.9×	56 1.0×	13	733
Heather Lynaugh United States	15	971 1.5×	842 1.3×	206 1.3×	101 1.5×	80 1.4×	19	1.1k
Andrew Buchanan United Kingdom	15	417 0.6×	368 0.6×	97 0.6×	138 2.0×	35 0.6×	30	688
Irina Burnina United States	13	460 0.7×	286 0.5×	92 0.6×	41 0.6×	44 0.8×	15	526
Pin Yee Wong United States	9	740 1.1×	774 1.2×	371 2.3×	112 1.6×	89 1.6×	10	1.0k
Alyssa Neill United States	15	682 1.0×	515 0.8×	189 1.2×	60 0.9×	79 1.4×	19	837
Beth Sharkey Israel	3	376 0.6×	369 0.6×	92 0.6×	44 0.6×	21 0.4×	4	440
Emily K. Makowski United States	15	347 0.5×	357 0.6×	83 0.5×	49 0.7×	36 0.6×	22	480
Ganesh P. Subedi United States	14	633 1.0×	538 0.9×	345 2.2×	43 0.6×	13 0.2×	20	770
Eskil Söderlind Sweden	13	666 1.0×	524 0.8×	98 0.6×	35 0.5×	41 0.7×	19	759

Countries citing papers authored by Isabelle Caffry

Since Specialization

Citations

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

Fields of papers citing papers by Isabelle Caffry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Isabelle Caffry

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

All Works

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9 of 9 papers shown

1.

Brown, Michael E., Daniel Bedinger, Asparouh Lilov, et al.. (2020). Assessing the binding properties of the anti-PD-1 antibody landscape using label-free biosensors. PLoS ONE. 15(3). e0229206–e0229206. 22 indexed citations

2.

Kumar, Amit, Tushar Jain, Isabelle Caffry, et al.. (2020). The uniqueness of flow in probing the aggregation behavior of clinically relevant antibodies. Engineering Reports. 2(5). e12147–e12147. 7 indexed citations

3.

Jain, Tushar, Tingwan Sun, Stéphanie Durand, et al.. (2017). Biophysical properties of the clinical-stage antibody landscape. Proceedings of the National Academy of Sciences. 114(5). 944–949. 412 indexed citations breakdown →

4.

Yang, Rong, Tushar Jain, Heather Lynaugh, et al.. (2017). Rapid assessment of oxidation via middle-down LCMS correlates with methionine side-chain solvent-accessible surface area for 121 clinical stage monoclonal antibodies. mAbs. 9(4). 646–653. 52 indexed citations

5.

Kelly, Ryan L., Yao Yu, Tingwan Sun, et al.. (2016). Target-independent variable region mediated effects on antibody clearance can be FcRn independent. mAbs. 8(7). 1269–1275. 39 indexed citations

6.

Estep, Patricia A., Isabelle Caffry, Yao Yu, et al.. (2015). An alternative assay to hydrophobic interaction chromatography for high-throughput characterization of monoclonal antibodies. mAbs. 7(3). 553–561. 48 indexed citations

7.

Yu, Yao, Heather Lynaugh, Michael E. Brown, et al.. (2015). Understanding ForteBio’s Sensors for High-Throughput Kinetic and Epitope Screening for Purified Antibodies and Yeast Culture Supernatant. SLAS DISCOVERY. 21(1). 88–95. 12 indexed citations

8.

Kelly, Ryan L., Tingwan Sun, Tushar Jain, et al.. (2015). High throughput cross-interaction measures for human IgG1 antibodies correlate with clearance rates in mice. mAbs. 7(4). 770–777. 66 indexed citations

9.

Liu, Yuqi, Isabelle Caffry, Jiemin Wu, et al.. (2013). High-throughput screening for developability during early-stage antibody discovery using self-interaction nanoparticle spectroscopy. mAbs. 6(2). 483–492. 103 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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