Florence Gross

609 total citations · 1 hit paper
15 papers, 333 citations indexed

About

Florence Gross is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Florence Gross has authored 15 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 2 papers in Oncology. Recurrent topics in Florence Gross's work include Receptor Mechanisms and Signaling (9 papers), Neuroscience and Neuropharmacology Research (2 papers) and Computational Drug Discovery Methods (2 papers). Florence Gross is often cited by papers focused on Receptor Mechanisms and Signaling (9 papers), Neuroscience and Neuropharmacology Research (2 papers) and Computational Drug Discovery Methods (2 papers). Florence Gross collaborates with scholars based in Canada, United States and France. Florence Gross's co-authors include Christian Le Gouill, Michel Bouvier, Mireille Hogue, Viktoriya Lukasheva, Charlotte Avet, Billy Breton, Meriem Semache, Hiroyuki Kobayashi, Xavier Leroy and Arturo Mancini and has published in prestigious journals such as The Journal of Immunology, The FASEB Journal and Molecular Psychiatry.

In The Last Decade

Florence Gross

15 papers receiving 329 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.

Effector membrane translocation biosensors reveal G protein and βarrestin coupling profiles of 100 therapeutically relevant GPCRs

2022 145 citations Charlotte Avet, Arturo Mancini et al. eLife profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Florence Gross Canada	7	233	161	32	31	31	15	333
Lama Yamani Canada	5	292 1.3×	136 0.8×	40 1.3×	42 1.4×	30 1.0×	8	365
Catherine Lavoie Canada	7	369 1.6×	214 1.3×	66 2.1×	20 0.6×	32 1.0×	10	515
Antonio S. Tutor Spain	8	244 1.0×	80 0.5×	30 0.9×	21 0.7×	57 1.8×	14	377
Alison J. McLean United Kingdom	8	542 2.3×	244 1.5×	23 0.7×	22 0.7×	52 1.7×	10	576
Thomas R. McMinn United States	3	304 1.3×	170 1.1×	13 0.4×	17 0.5×	49 1.6×	4	376
Wen-Ji Chen United States	8	248 1.1×	210 1.3×	22 0.7×	19 0.6×	21 0.7×	8	360
Marie‐Claire Peakman United States	9	215 0.9×	74 0.5×	33 1.0×	18 0.6×	18 0.6×	10	360
Mark D. Richardson United States	7	431 1.8×	250 1.6×	16 0.5×	32 1.0×	40 1.3×	10	547
Denis Morin France	6	576 2.5×	151 0.9×	14 0.4×	54 1.7×	47 1.5×	7	725
Thomas F. Pack United States	13	380 1.6×	238 1.5×	51 1.6×	29 0.9×	35 1.1×	17	556

Countries citing papers authored by Florence Gross

Since Specialization

Citations

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

Fields of papers citing papers by Florence Gross

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Gross

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

All Works

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15 of 15 papers shown

Gross, Florence, Arturo Mancini, Billy Breton, et al.. (2024). EGFR signaling and pharmacology in oncology revealed with innovative BRET-based biosensors. Communications Biology. 7(1). 250–250. 4 indexed citations

Allain, Florence, Aliza T. Ehrlich, Michael McNicholas, et al.. (2023). Chronic tianeptine induces tolerance in analgesia and hyperlocomotion via mu-opioid receptor activation in mice. Frontiers in Psychiatry. 14. 1186397–1186397. 4 indexed citations

Avet, Charlotte, Arturo Mancini, Billy Breton, et al.. (2022). Effector membrane translocation biosensors reveal G protein and βarrestin coupling profiles of 100 therapeutically relevant GPCRs. eLife. 11. 145 indexed citations breakdown →

Ehrlich, Aliza T., Meriem Semache, Hiroyuki Kobayashi, et al.. (2021). Ackr3-Venus knock-in mouse lights up brain vasculature. Molecular Brain. 14(1). 151–151. 7 indexed citations

Mancini, Arturo, Charlotte Avet, Billy Breton, et al.. (2021). Use of Novel ebBRET Biosensors for Comprehensive Signaling Profiling of One Hundred Therapeutically Relevant Human GPCRs. The FASEB Journal. 35(S1). 2 indexed citations

Avet, Charlotte, Claudio F. Sturino, Christian Le Gouill, et al.. (2020). The PAR2 inhibitor I-287 selectively targets Gαq and Gα12/13 signaling and has anti-inflammatory effects. Communications Biology. 3(1). 719–719. 22 indexed citations

Ehrlich, Aliza T., Meriem Semache, Florence Gross, et al.. (2019). Biased Signaling of the Mu Opioid Receptor Revealed in Native Neurons. iScience. 14. 47–57. 59 indexed citations

Avet, Charlotte, Meriem Semache, Florence Gross, et al.. (2018). Signaling profile of a new PAR2 inhibitor with anti‐inflammatory effects. The FASEB Journal. 32(S1). 1 indexed citations

Ehrlich, Aliza T., Meriem Semache, Julie Bailly, et al.. (2017). Mapping GPR88-Venus illuminates a novel role for GPR88 in sensory processing. Brain Structure and Function. 223(3). 1275–1296. 28 indexed citations

10.

Cruceanu, Cristiana, Susana G. Torres‐Platas, Juan Pablo López, et al.. (2017). Rare susceptibility variants for bipolar disorder suggest a role for G protein-coupled receptors. Molecular Psychiatry. 23(10). 2050–2056. 15 indexed citations

11.

Lenormand, C., Huguette Bausinger, Florence Gross, et al.. (2012). HLA-DQA2 and HLA-DQB2 Genes Are Specifically Expressed in Human Langerhans Cells and Encode a New HLA Class II Molecule. The Journal of Immunology. 188(8). 3903–3911. 38 indexed citations

12.

Lorenzi‐Cioldi, Fabio, et al.. (2010). Individuation in job offers as a function of the status of the occupation. Social Science Information. 49(2). 267–281. 1 indexed citations

13.

Tripod, J & Florence Gross. (1957). [Differential influencing of analgesic and central stimulant effects of morphine by central depressant drugs].. PubMed. 15(1). 105–15. 3 indexed citations

14.

Gross, Florence & H. P. Kaufmann. (1954). [Inhibition of analgesic effect of morphine and cliradon by various sugars and intermediary products of sugars].. PubMed. 12(4). 284–92. 1 indexed citations

15.

Meier, R., et al.. (1952). [A comparison of the cellular effects of various steroids in vivo and vitro].. PubMed. 8(1-2). 34–53. 3 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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