Romain Donné

987 total citations · 1 hit paper
8 papers, 598 citations indexed

About

Romain Donné is a scholar working on Hepatology, Molecular Biology and Cell Biology. According to data from OpenAlex, Romain Donné has authored 8 papers receiving a total of 598 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Hepatology, 3 papers in Molecular Biology and 3 papers in Cell Biology. Recurrent topics in Romain Donné's work include Liver physiology and pathology (4 papers), Microtubule and mitosis dynamics (3 papers) and Chromosomal and Genetic Variations (2 papers). Romain Donné is often cited by papers focused on Liver physiology and pathology (4 papers), Microtubule and mitosis dynamics (3 papers) and Chromosomal and Genetic Variations (2 papers). Romain Donné collaborates with scholars based in France, United States and Belgium. Romain Donné's co-authors include Amaia Lujambio, Séverine Celton‐Morizur, Chantal Desdouets, Jean‐Pierre Couty, Christophe Klein, Valérie Paradis, Miguel Albuquerque, Antoine L’Hermitte, Julien Caldéraro and Gabrielle Couchy and has published in prestigious journals such as Hepatology, Gut and Scientific Reports.

In The Last Decade

Romain Donné

8 papers receiving 593 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.

The liver cancer immune microenvironment: Therapeutic implications for hepatocellular carcinoma

2022 368 citations Romain Donné, Amaia Lujambio Hepatology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Romain Donné France	6	267	160	147	127	122	8	598
Lantian Tian China	11	301 1.1×	125 0.8×	218 1.5×	128 1.0×	85 0.7×	21	549
Miaojun Han United States	9	225 0.8×	188 1.2×	153 1.0×	182 1.4×	53 0.4×	10	738
Ayano Kabashima Japan	11	394 1.5×	62 0.4×	160 1.1×	211 1.7×	43 0.4×	16	625
Qiang Ju China	13	429 1.6×	59 0.4×	226 1.5×	105 0.8×	98 0.8×	21	741
Changku Jia China	10	238 0.9×	60 0.4×	91 0.6×	115 0.9×	55 0.5×	22	427
Misty Shuo Zhang Hong Kong	10	467 1.7×	63 0.4×	283 1.9×	147 1.2×	167 1.4×	13	681
Shunli Shen China	16	349 1.3×	179 1.1×	249 1.7×	187 1.5×	61 0.5×	32	689
Agnès Legrand France	13	193 0.7×	69 0.4×	83 0.6×	121 1.0×	49 0.4×	25	495
Gongbo Fu China	17	471 1.8×	237 1.5×	297 2.0×	215 1.7×	66 0.5×	32	927
Yu Dai China	10	263 1.0×	110 0.7×	83 0.6×	68 0.5×	36 0.3×	21	449

Countries citing papers authored by Romain Donné

Since Specialization

Citations

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

Fields of papers citing papers by Romain Donné

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Romain Donné

This figure shows the co-authorship network connecting the top 25 collaborators of Romain Donné. A scholar is included among the top collaborators of Romain Donné 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 Romain Donné. Romain Donné 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:

8 of 8 papers shown

1.

Egerman, Marc A., Yuhong Zhang, Romain Donné, et al.. (2025). ActRII or BMPR ligands inhibit skeletal myoblast differentiation, and BMPs promote heterotopic ossification in skeletal muscles in mice. Skeletal Muscle. 15(1). 4–4. 4 indexed citations

2.

Lindblad, Katherine E., Romain Donné, Marina Bárcena‐Varela, et al.. (2024). NOTCH1 Drives Sexually Dimorphic Immune Responses in Hepatocellular Carcinoma. Cancer Discovery. 15(3). 495–510. 5 indexed citations

3.

Donné, Romain & Amaia Lujambio. (2022). The liver cancer immune microenvironment: Therapeutic implications for hepatocellular carcinoma. Hepatology. 77(5). 1773–1796. 368 indexed citations breakdown →

4.

Donné, Romain, et al.. (2021). Hepatocyte Polyploidy: Driver or Gatekeeper of Chronic Liver Diseases. Cancers. 13(20). 5151–5151. 11 indexed citations

5.

Donné, Romain, et al.. (2020). Polyploidy in liver development, homeostasis and disease. Nature Reviews Gastroenterology & Hepatology. 17(7). 391–405. 122 indexed citations

6.

Boussetta, Nadia, et al.. (2019). Hepatospecific ablation of p38α MAPK governs liver regeneration through modulation of inflammatory response to CCl4-induced acute injury. Scientific Reports. 9(1). 14614–14614. 15 indexed citations

7.

Caruso, Stefano, Romain Donné, Séverine Celton‐Morizur, et al.. (2019). Polyploidy spectrum: a new marker in HCC classification. Gut. 69(2). 355–364. 72 indexed citations

8.

Donné, Romain, et al.. (2019). La polyploïdie hépatique. médecine/sciences. 35(6-7). 519–526. 1 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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