Tamara Miljuš

738 total citations
9 papers, 389 citations indexed

About

Tamara Miljuš is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Surgery. According to data from OpenAlex, Tamara Miljuš has authored 9 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Surgery. Recurrent topics in Tamara Miljuš's work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (3 papers) and RNA and protein synthesis mechanisms (2 papers). Tamara Miljuš is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (3 papers) and RNA and protein synthesis mechanisms (2 papers). Tamara Miljuš collaborates with scholars based in United Kingdom, Switzerland and Canada. Tamara Miljuš's co-authors include Franziska M. Heydenreich, Dmitry B. Veprintsev, Shannon O’Brien, Davide Calebiro, Christopher G. Tate, M. Madan Babu, Xavier Deupí, Gebhard F. X. Schertler, AJ Venkatakrishnan and Tilman Flock and has published in prestigious journals such as Nature, Cell and Nature Communications.

In The Last Decade

Tamara Miljuš

8 papers receiving 389 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tamara Miljuš United Kingdom	5	334	190	54	39	33	9	389
Wanjing Guo China	4	345 1.0×	189 1.0×	66 1.2×	40 1.0×	44 1.3×	6	429
Yangxia Tan China	7	286 0.9×	127 0.7×	46 0.9×	29 0.7×	27 0.8×	10	343
Qingning Yuan China	12	347 1.0×	203 1.1×	52 1.0×	34 0.9×	43 1.3×	23	517
Changxiu Qu China	7	260 0.8×	122 0.6×	32 0.6×	51 1.3×	30 0.9×	9	327
Jimmy Caroli Italy	12	393 1.2×	105 0.6×	55 1.0×	27 0.7×	70 2.1×	19	471
Hee Ryung Kim South Korea	10	458 1.4×	218 1.1×	63 1.2×	87 2.2×	41 1.2×	19	527
Rory Sleno Canada	11	424 1.3×	247 1.3×	52 1.0×	21 0.5×	28 0.8×	14	490
Joëlle Goulding United Kingdom	8	320 1.0×	134 0.7×	35 0.6×	23 0.6×	23 0.7×	18	380
Yanting Yin United States	8	348 1.0×	196 1.0×	34 0.6×	42 1.1×	38 1.2×	11	379
Ee Von Moo Denmark	8	283 0.8×	145 0.8×	34 0.6×	15 0.4×	65 2.0×	13	340

Countries citing papers authored by Tamara Miljuš

Since Specialization

Citations

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

Fields of papers citing papers by Tamara Miljuš

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Miljuš

This figure shows the co-authorship network connecting the top 25 collaborators of Tamara Miljuš. A scholar is included among the top collaborators of Tamara Miljuš 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 Tamara Miljuš. Tamara Miljuš 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.

Miljuš, Tamara, Tomasz Maciej Stępniewski, Franziska M. Heydenreich, et al.. (2025). Multiple intramolecular triggers converge to preferential G protein coupling in the CB2R. Nature Communications. 16(1). 5265–5265. 1 indexed citations

2.

O’Brien, Shannon, Jennie Roberts, Jeremy A. Pike, et al.. (2025). Intracrine FFA4 signaling controls lipolysis at lipid droplets. Nature Chemical Biology. 22(1). 109–119. 1 indexed citations

3.

Calebiro, Davide, Tamara Miljuš, & Shannon O’Brien. (2024). Endomembrane GPCR signaling: 15 years on, the quest continues. Trends in Biochemical Sciences. 50(1). 46–60. 8 indexed citations

4.

Kaur, Amandeep, Tamara Miljuš, Eline J. Koers, et al.. (2023). ThermoBRET: A Ligand‐Engagement Nanoscale Thermostability Assay Applied to GPCRs**. ChemBioChem. 25(2). e202300459–e202300459.

5.

Kőszegi, Zsombor, Yann Lanoiselée, Tamara Miljuš, et al.. (2023). Plasma membrane preassociation drives β-arrestin coupling to receptors and activation. Cell. 186(10). 2238–2255.e20. 38 indexed citations

6.

Heydenreich, Franziska M., Tamara Miljuš, D. Milić, & Dmitry B. Veprintsev. (2020). High-throughput Site-directed Scanning Mutagenesis Using a Two-fragment PCR Approach. BIO-PROTOCOL. 10(1). e3484–e3484. 3 indexed citations

7.

Calebiro, Davide, Zsombor Kőszegi, Yann Lanoiselée, Tamara Miljuš, & Shannon O’Brien. (2020). G protein-coupled receptor-G protein interactions: a single-molecule perspective. Physiological Reviews. 101(3). 857–906. 76 indexed citations

8.

Heydenreich, Franziska M., Tamara Miljuš, Rolf Jaussi, et al.. (2017). High-throughput mutagenesis using a two-fragment PCR approach. Scientific Reports. 7(1). 6787–6787. 32 indexed citations

9.

Venkatakrishnan, AJ, Xavier Deupí, Guillaume Lebon, et al.. (2016). Diverse activation pathways in class A GPCRs converge near the G-protein-coupling region. Nature. 536(7617). 484–487. 230 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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