Danielle Fletcher

572 total citations
8 papers, 390 citations indexed

About

Danielle Fletcher is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Danielle Fletcher has authored 8 papers receiving a total of 390 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Danielle Fletcher's work include Acute Lymphoblastic Leukemia research (2 papers), Stress Responses and Cortisol (1 paper) and Acute Myeloid Leukemia Research (1 paper). Danielle Fletcher is often cited by papers focused on Acute Lymphoblastic Leukemia research (2 papers), Stress Responses and Cortisol (1 paper) and Acute Myeloid Leukemia Research (1 paper). Danielle Fletcher collaborates with scholars based in United Kingdom, United States and Switzerland. Danielle Fletcher's co-authors include Paul A. Whittaker, Probir Chakravarty, John A. Marwick, Paul Kirkham, Koremu Meja, Michael Hubank, Saibal K. Biswas, Isaac K. Sundar, Gillian Spooner and Irfan Rahman and has published in prestigious journals such as Blood, Brain Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Danielle Fletcher

8 papers receiving 375 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Danielle Fletcher United Kingdom	7	181	78	65	59	50	8	390
Federico Centeno-Cruz Mexico	13	261 1.4×	18 0.2×	18 0.3×	63 1.1×	47 0.9×	38	447
Mami Kobayashi Japan	14	171 0.9×	96 1.2×	22 0.3×	21 0.4×	54 1.1×	40	589
Minghui Chen China	15	162 0.9×	27 0.3×	8 0.1×	25 0.4×	38 0.8×	28	413
Wanqiao Zhang China	9	141 0.8×	97 1.2×	36 0.6×	47 0.8×	47 0.9×	13	347
Viktoria Kuhn Germany	5	73 0.4×	70 0.9×	32 0.5×	151 2.6×	13 0.3×	7	390
Adriana Grismaldo Colombia	11	93 0.5×	20 0.3×	30 0.5×	38 0.6×	38 0.8×	18	315
Yng‐Tay Chen Taiwan	11	153 0.8×	34 0.4×	11 0.2×	41 0.7×	31 0.6×	32	427
Karim Fallague France	8	231 1.3×	18 0.2×	13 0.2×	57 1.0×	37 0.7×	11	457
Yoriko Ota Japan	11	115 0.6×	42 0.5×	14 0.2×	45 0.8×	36 0.7×	26	369
Xinwen Chang China	17	295 1.6×	33 0.4×	15 0.2×	41 0.7×	26 0.5×	34	756

Countries citing papers authored by Danielle Fletcher

Since Specialization

Citations

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

Fields of papers citing papers by Danielle Fletcher

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danielle Fletcher

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

All Works

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8 of 8 papers shown

Campos, Bruno, Danielle Fletcher, Benjamı́n Piña, Romá Tauler, & Carlos Barata. (2018). Differential gene transcription across the life cycle in Daphnia magna using a new all genome custom-made microarray. BMC Genomics. 19(1). 370–370. 21 indexed citations

Marwick, John A., Gillian A. Wallis, Koremu Meja, et al.. (2008). Oxidative stress modulates theophylline effects on steroid responsiveness. Biochemical and Biophysical Research Communications. 377(3). 797–802. 34 indexed citations

Meja, Koremu, R. Saravanan, David Adenuga, et al.. (2008). Curcumin Restores Corticosteroid Function in Monocytes Exposed to Oxidants by Maintaining HDAC2. American Journal of Respiratory Cell and Molecular Biology. 39(3). 312–323. 158 indexed citations

Sivagnanasundaram, Sinthuja, Danielle Fletcher, Michael Hubank, et al.. (2007). Differential gene expression in the hippocampus of the Df1/+ mice: A model for 22q11.2 deletion syndrome and schizophrenia. Brain Research. 1139. 48–59. 33 indexed citations

Delft, Frederik W. van, Anthony Bellotti, Zhiyuan Luo, et al.. (2005). Prospective gene expression analysis accurately subtypes acute leukaemia in children and establishes a commonality between hyperdiploidy and t(12;21) in acute lymphoblastic leukaemia. British Journal of Haematology. 130(1). 26–35. 22 indexed citations

Stanković, Tatjana, Michael Hubank, Grant S. Stewart, et al.. (2003). Microarray analysis reveals that TP53- and ATM-mutant B-CLLs share a defect in activating proapoptotic responses after DNA damage but are distinguished by major differences in activating prosurvival responses. Blood. 103(1). 291–300. 79 indexed citations

Cousens, Roger & Danielle Fletcher. (1990). Experimental design for screening competitiveness of crop cultivars.. 163–165. 3 indexed citations

Richardson, S G, Danielle Fletcher, P. M. Jeavons, & J. Stuart. (1976). Sodium valproate and platelet function.. BMJ. 1(6003). 221.4–222. 40 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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