Graham Harold

1.0k total citations · 1 hit paper
7 papers, 778 citations indexed

About

Graham Harold is a scholar working on Genetics, Molecular Biology and Endocrine and Autonomic Systems. According to data from OpenAlex, Graham Harold has authored 7 papers receiving a total of 778 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 4 papers in Molecular Biology and 1 paper in Endocrine and Autonomic Systems. Recurrent topics in Graham Harold's work include Virus-based gene therapy research (4 papers), Animal Genetics and Reproduction (4 papers) and CRISPR and Genetic Engineering (3 papers). Graham Harold is often cited by papers focused on Virus-based gene therapy research (4 papers), Animal Genetics and Reproduction (4 papers) and CRISPR and Genetic Engineering (3 papers). Graham Harold collaborates with scholars based in United Kingdom. Graham Harold's co-authors include Thomas B. L. Kirkwood, Karin Schaeuble, Gabriele Saretzki, Ilka Wappler, João F. Passos, Thomas von Zglinicki, Matthew J. Birket, Heiko Peters, Mark A. Birch‐Machin and Shaheda Ahmed and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and PLoS Biology.

In The Last Decade

Graham Harold

7 papers receiving 762 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.

Mitochondrial Dysfunction Accounts for the Stochastic Heterogeneity in Telomere-Dependent Senescence

2007 599 citations João F. Passos, Gabriele Saretzki et al. PLoS Biology profile →

Peers

Graham Harold

MB

PHYSI

AGING

GENET

IMMUN

Rafal Czapiewski United Kingdom

Hui‐Ling Ou Germany

Sharon Olijslagers United Kingdom

Hiroaki Iwasa Japan

Antonia Tomás‐Loba Spain

Abigail L. Peterson United States

Ruth I. Tennen United States

Verónica Jiménez Spain

Peter L.J. de Keizer Netherlands

Wenning Qin United States

Rafal Czapiewski United Kingdom

Graham Harold

714 ×1.6

MB

353 ×0.9

PHYSI

159 ×1.1

AGING

64 ×0.6

GENET

60 ×0.6

IMMUN

Citations per year, relative to Graham Harold Graham Harold (= 1×) peers Rafal Czapiewski

Countries citing papers authored by Graham Harold

Since Specialization

Citations

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

Fields of papers citing papers by Graham Harold

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Graham Harold

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

All Works

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7 of 7 papers shown

1.

Norman, Jane E., Graham Harold, Anne Young, et al.. (2011). Effect of Prolonged In Vivo Administration of Progesterone in Pregnancy on Myometrial Gene Expression, Peripheral Blood Leukocyte Activation, and Circulating Steroid Hormone Levels. Reproductive Sciences. 18(5). 435–446. 28 indexed citations

2.

Passos, João F., Gabriele Saretzki, Shaheda Ahmed, et al.. (2007). Mitochondrial Dysfunction Accounts for the Stochastic Heterogeneity in Telomere-Dependent Senescence. PLoS Biology. 5(5). e110–e110. 599 indexed citations breakdown →

3.

Yull, Fiona E., Bert Binas, Graham Harold, R M Wallace, & A. John Clark. (1997). Transgene rescue in the mammary gland is associated with transcription but does not require translation of BLG transgenes. Transgenic Research. 6(1). 11–17. 11 indexed citations

4.

Clark, Anthony, Graham Harold, & Fiona E. Yull. (1997). Mammalian cDNA and Prokaryotic Reporter Sequences Silence Adjacent Transgenes in Transgenic Mice. Nucleic Acids Research. 25(5). 1009–1014. 48 indexed citations

5.

Cui, Wei, M. Rufus Crompton, Graham Harold, et al.. (1997). Selective cell ablation in transgenic mice expressing E. coli nitroreductase. Gene Therapy. 4(2). 101–110. 57 indexed citations

6.

Gusterson, B.A., Wei Cui, M Crompton, et al.. (1997). Selective cell ablation in the mammary gland of transgenic mice. Endocrine Related Cancer. 4(1). 67–74. 4 indexed citations

7.

Yull, Fiona E., et al.. (1995). Fixing human factor IX (fIX): correction of a cryptic RNA splice enables the production of biologically active fIX in the mammary gland of transgenic mice.. Proceedings of the National Academy of Sciences. 92(24). 10899–10903. 31 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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