Michelle Osborne

1.5k total citations · 1 hit paper
6 papers, 663 citations indexed

About

Michelle Osborne is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Michelle Osborne has authored 6 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Cancer Research. Recurrent topics in Michelle Osborne's work include Molecular Biology Techniques and Applications (2 papers), Cancer-related Molecular Pathways (2 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper). Michelle Osborne is often cited by papers focused on Molecular Biology Techniques and Applications (2 papers), Cancer-related Molecular Pathways (2 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (1 paper). Michelle Osborne collaborates with scholars based in United Kingdom, United States and Australia. Michelle Osborne's co-authors include James Hadfield, Heidi Dvinge, Carlos Caldas, Mali Salmon‐Divon, Claudia Kutter, Anna Git, Paul Bertone, David E. Neal, Antonio Ramos‐Montoya and Ian G. Mills and has published in prestigious journals such as BMC Genomics, RNA and BMC Cancer.

In The Last Decade

Michelle Osborne

6 papers receiving 650 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.

Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression

2010 542 citations Anna Git, Heidi Dvinge et al. RNA profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michelle Osborne United Kingdom	5	484	404	40	30	30	6	663
Tim Kehl Germany	14	732 1.5×	595 1.5×	89 2.2×	21 0.7×	43 1.4×	26	1.0k
Kenneth Verheggen Belgium	10	1.0k 2.1×	644 1.6×	50 1.3×	19 0.6×	26 0.9×	16	1.2k
Yungang Xu China	14	477 1.0×	128 0.3×	22 0.6×	27 0.9×	29 1.0×	29	638
Tyler Weirick United States	14	583 1.2×	439 1.1×	25 0.6×	25 0.8×	11 0.4×	19	691
Martin Haubrock Germany	12	371 0.8×	118 0.3×	30 0.8×	13 0.4×	42 1.4×	20	470
Lola Alonso Spain	9	309 0.6×	148 0.4×	41 1.0×	34 1.1×	44 1.5×	22	470
Puwen Tan China	12	1.0k 2.1×	656 1.6×	95 2.4×	20 0.7×	62 2.1×	18	1.2k
Alex Tuck United Kingdom	15	1.2k 2.4×	252 0.6×	43 1.1×	28 0.9×	26 0.9×	24	1.2k
Jianshe Yan China	13	572 1.2×	324 0.8×	87 2.2×	45 1.5×	110 3.7×	24	842
Lining Zhang China	12	378 0.8×	141 0.3×	68 1.7×	54 1.8×	58 1.9×	23	591

Countries citing papers authored by Michelle Osborne

Since Specialization

Citations

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

Fields of papers citing papers by Michelle Osborne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Osborne

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

Tran, Maxine, B. Bibby, Lingjian Yang, et al.. (2020). Independence of HIF1a and androgen signaling pathways in prostate cancer. BMC Cancer. 20(1). 469–469. 28 indexed citations

2.

Bon, Hélène, Karan Wadhwa, A. Schreiner, et al.. (2014). Salt-Inducible Kinase 2 Regulates Mitotic Progression and Transcription in Prostate Cancer. Molecular Cancer Research. 13(4). 620–635. 47 indexed citations

3.

Git, Anna, Heidi Dvinge, Mali Salmon‐Divon, et al.. (2010). Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression. RNA. 16(5). 991–1006. 542 indexed citations breakdown →

4.

Lynch, Andy G., James Hadfield, Mark Dunning, et al.. (2010). The cost of reducing starting RNA quantity for Illumina BeadArrays: A bead-level dilution experiment. BMC Genomics. 11(1). 540–540. 4 indexed citations

5.

Krohn, Maxwell, Petros Efstathopoulos, Frans Kaashoek, et al.. (2005). Make least privilege a right (not a privilege). 21–21. 32 indexed citations

6.

Osborne, Michelle, et al.. (1989). Potential regulatory role of inflammatory cells on local vascular smooth muscle tone. Inflammation Research. 27(3-4). 414–417. 10 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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