Joanne Betts

2.1k total citations · 1 hit paper
14 papers, 1.5k citations indexed

About

Joanne Betts is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Joanne Betts has authored 14 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Pulmonary and Respiratory Medicine and 4 papers in Physiology. Recurrent topics in Joanne Betts's work include Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (3 papers) and Asthma and respiratory diseases (3 papers). Joanne Betts is often cited by papers focused on Mitochondrial Function and Pathology (6 papers), Metabolism and Genetic Disorders (3 papers) and Asthma and respiratory diseases (3 papers). Joanne Betts collaborates with scholars based in Sweden, United Kingdom and United States. Joanne Betts's co-authors include Douglass M. Turnbull, Kim J. Krishnan, Evelyn Jaros, Robert W. Taylor, Christopher M. Morris, Thomas Klopstock, Geoffrey A. Taylor, Robert H. Perry, Andreas Bender and Joshua Hersheson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and Nature Immunology.

In The Last Decade

Joanne Betts

12 papers receiving 1.5k 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.

High levels of mitochondrial DNA deletions in substantia nigra neurons in aging and Parkinson disease

2006 1.2k citations Andreas Bender, Kim J. Krishnan et al. Nature Genetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joanne Betts Sweden	8	1.1k	480	405	388	291	14	1.5k
Nicole Exner Germany	9	1.1k 1.0×	1.0k 2.1×	137 0.3×	493 1.3×	485 1.7×	9	2.0k
Iga Wegorzewska United States	11	889 0.8×	750 1.6×	105 0.3×	371 1.0×	222 0.8×	12	1.5k
Julia S. Schlehe United States	7	1.2k 1.1×	723 1.5×	177 0.4×	426 1.1×	392 1.3×	7	1.9k
Radu Stoica Romania	9	1.6k 1.5×	699 1.5×	143 0.4×	436 1.1×	491 1.7×	33	2.3k
Nicoleta Moisoi United Kingdom	14	973 0.9×	561 1.2×	80 0.2×	295 0.8×	250 0.9×	29	1.6k
A. Kathrin Lutz Germany	6	878 0.8×	821 1.7×	107 0.3×	452 1.2×	390 1.3×	6	1.6k
Taiji Tsunemi Japan	19	967 0.9×	710 1.5×	100 0.2×	609 1.6×	555 1.9×	49	1.9k
Maxime W.C. Rousseaux United States	19	913 0.8×	587 1.2×	51 0.1×	404 1.0×	302 1.0×	39	1.7k
Patricia Gómez‐Suaga United Kingdom	21	1.4k 1.3×	906 1.9×	103 0.3×	468 1.2×	674 2.3×	31	2.4k
Thomas G. McWilliams United Kingdom	16	1.1k 1.0×	411 0.9×	110 0.3×	180 0.5×	371 1.3×	28	2.0k

Countries citing papers authored by Joanne Betts

Since Specialization

Citations

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

Fields of papers citing papers by Joanne Betts

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joanne Betts

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

All Works

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14 of 14 papers shown

Lin, Chia‐Hao, Cheng-Jang Wu, Sunglim Cho, et al.. (2023). Selective IL-27 production by intestinal regulatory T cells permits gut-specific regulation of TH17 cell immunity. Nature Immunology. 24(12). 2108–2120. 22 indexed citations

Nemes, Szilárd, Joanne Betts, John Mo, et al.. (2021). Diurnal variation in DLCO and non-standardized study procedures may cause a false positive safety signal in clinical trials. Respiratory Medicine. 191. 106705–106705.

Sadiq, Muhammad Waqas, Sara Asimus, Maria G. Belvisi, et al.. (2021). Characterisation of pharmacokinetics, safety and tolerability in a first‐in‐human study for AZD8154, a novel inhaled selective PI3Kγδ dual inhibitor targeting airway inflammatory disease. British Journal of Clinical Pharmacology. 88(1). 260–270. 12 indexed citations

Asimus, Sara, Jukka Mäenpää, Rainard Fuhr, et al.. (2020). Safety, Tolerability and Pharmacokinetics (PK) of AZD8154, A Selective PI3Kγδ Inhibitor, After Single and Multiple Ascending Inhaled Doses in Healthy Volunteers. A3022–A3022. 2 indexed citations

Asimus, Sara, Jukka Mäenpää, Barbara Valastro, et al.. (2019). Safety, tolerability and pharmacokinetics (PK) of AZD8154 (a selective PI3K?d inhibitor) after single ascending inhaled doses in healthy volunteers. PA4220–PA4220. 2 indexed citations

Betts, Joanne, John Mo, Sara Asimus, et al.. (2019). Reducing the variability of DLCO measurements in clinical trials. PA2650–PA2650. 1 indexed citations

Betts, Joanne, B. Larsson, Alexandra Jauhiainen, et al.. (2018). P138 Urinary leukotriene E4 (uLTE4) pharmacodynamic biomarker for early decision making in the AZD9898 adaptive phase i study. A177.1–A177.

Bartesaghi, Stefano, Vincenzo Graziano, Sara Galavotti, et al.. (2015). Inhibition of oxidative metabolism leads to p53 genetic inactivation and transformation in neural stem cells. Proceedings of the National Academy of Sciences. 112(4). 1059–1064. 59 indexed citations

Betts, Joanne, Martin Barron, Stephanie Needham, et al.. (2008). GASTROINTESTINAL TRACT INVOLVEMENT ASSOCIATED WITH THE 3243A>G MITOCHONDRIAL DNA MUTATION. Neurology. 70(15). 1290–1292. 21 indexed citations

10.

Bender, Andreas, Kim J. Krishnan, Christopher M. Morris, et al.. (2006). High levels of mitochondrial DNA deletions in substantia nigra neurons in aging and Parkinson disease. Nature Genetics. 38(5). 515–517. 1195 indexed citations breakdown →

11.

Betts, Joanne, Evelyn Jaros, R. H. Perry, et al.. (2006). Molecular neuropathology of MELAS: level of heteroplasmy in individual neurones and evidence of extensive vascular involvement. Neuropathology and Applied Neurobiology. 32(4). 359–373. 112 indexed citations

12.

Betts, Joanne, Robert N. Lightowlers, & Douglass M. Turnbull. (2004). Neuropathological Aspects of Mitochondrial DNA Disease. Neurochemical Research. 29(3). 505–511. 45 indexed citations

13.

Durham, Steve E., Kim J. Krishnan, Joanne Betts, & Mark A. Birch‐Machin. (2003). Mitochondrial DNA damage in non-melanoma skin cancer. British Journal of Cancer. 88(1). 90–95. 74 indexed citations

14.

Betts, Joanne. (1954). Intra-arterial Therapy in Occlusive Vascular Disease. BMJ. 1(4875). 1360–1361. 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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