Chloé Abels

1.2k total citations · 1 hit paper
6 papers, 910 citations indexed

About

Chloé Abels is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Chloé Abels has authored 6 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 2 papers in Molecular Biology and 1 paper in Infectious Diseases. Recurrent topics in Chloé Abels's work include Connexins and lens biology (2 papers), Phagocytosis and Immune Regulation (2 papers) and Immune Cell Function and Interaction (2 papers). Chloé Abels is often cited by papers focused on Connexins and lens biology (2 papers), Phagocytosis and Immune Regulation (2 papers) and Immune Cell Function and Interaction (2 papers). Chloé Abels collaborates with scholars based in Belgium, Brazil and United States. Chloé Abels's co-authors include Patrick De Baetselier, Alain Beschin, Martin Guilliams, Geert Raes, Steve Schoonooghe, Nick Devoogdt, Fang Zheng, Sofie De Prijck, Bart N. Lambrecht and Charlotte L. Scott and has published in prestigious journals such as Nature Communications, Cancer Research and PLoS Pathogens.

In The Last Decade

Chloé Abels

6 papers receiving 908 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.

Bone marrow-derived monocytes give rise to self-renewing and fully differentiated Kupffer cells

2016 605 citations Charlotte L. Scott, Fang Zheng et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Chloé Abels Belgium	6	569	262	229	139	137	6	910
Amanda Proudfoot Switzerland	12	440 0.8×	277 1.1×	232 1.0×	174 1.3×	350 2.6×	14	1.0k
K. Seino Japan	18	512 0.9×	243 0.9×	70 0.3×	44 0.3×	214 1.6×	44	947
Aditi Varthaman France	12	447 0.8×	167 0.6×	191 0.8×	48 0.3×	84 0.6×	15	740
Weiwei Chen China	14	558 1.0×	221 0.8×	149 0.7×	48 0.3×	114 0.8×	45	890
Xiaolei Hao China	13	277 0.5×	125 0.5×	124 0.5×	56 0.4×	101 0.7×	28	573
Rocky Barilla United States	12	867 1.5×	382 1.5×	262 1.1×	119 0.9×	620 4.5×	16	1.5k
Divya Ramnath Australia	12	451 0.8×	555 2.1×	144 0.6×	79 0.6×	55 0.4×	14	990
Mina Hassan‐Zahraee United States	14	393 0.7×	154 0.6×	214 0.9×	20 0.1×	91 0.7×	30	830
Anastasiya Hladik Austria	13	613 1.1×	291 1.1×	170 0.7×	38 0.3×	37 0.3×	26	1.0k
Longfeng Jiang China	16	199 0.3×	300 1.1×	235 1.0×	169 1.2×	64 0.5×	42	790

Countries citing papers authored by Chloé Abels

Since Specialization

Citations

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

Fields of papers citing papers by Chloé Abels

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chloé Abels

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Maes, Michaël, Mitchell R. McGill, Tereza Cristina da Silva, et al.. (2016). Involvement of connexin43 in acetaminophen-induced liver injury. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1862(6). 1111–1121. 32 indexed citations

2.

Maes, Michaël, Mitchell R. McGill, Tereza Cristina da Silva, et al.. (2016). Inhibition of pannexin1 channels alleviates acetaminophen-induced hepatotoxicity. Archives of Toxicology. 91(5). 2245–2261. 21 indexed citations

3.

Scott, Charlotte L., Fang Zheng, Patrick De Baetselier, et al.. (2016). Bone marrow-derived monocytes give rise to self-renewing and fully differentiated Kupffer cells. Nature Communications. 7(1). 10321–10321. 605 indexed citations breakdown →

4.

Overmeire, Eva Van, Benoı̂t Stijlemans, Felix Heymann, et al.. (2015). M-CSF and GM-CSF Receptor Signaling Differentially Regulate Monocyte Maturation and Macrophage Polarization in the Tumor Microenvironment. Cancer Research. 76(1). 35–42. 191 indexed citations

5.

Morias, Yannick, Chloé Abels, Damya Laoui, et al.. (2015). Ly6C- Monocytes Regulate Parasite-Induced Liver Inflammation by Inducing the Differentiation of Pathogenic Ly6C+ Monocytes into Macrophages. PLoS Pathogens. 11(5). e1004873–e1004873. 34 indexed citations

6.

Zheng, Fang, Nick Devoogdt, Yannick Morias, et al.. (2014). Monitoring liver macrophages using nanobodies targeting Vsig4: Concanavalin A induced acute hepatitis as paradigm. Immunobiology. 220(2). 200–209. 27 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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