Rachel Craddock

756 total citations
9 papers, 627 citations indexed

About

Rachel Craddock is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Rachel Craddock has authored 9 papers receiving a total of 627 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Immunology and 1 paper in Infectious Diseases. Recurrent topics in Rachel Craddock's work include Cell death mechanisms and regulation (4 papers), Single-cell and spatial transcriptomics (2 papers) and Immune Response and Inflammation (2 papers). Rachel Craddock is often cited by papers focused on Cell death mechanisms and regulation (4 papers), Single-cell and spatial transcriptomics (2 papers) and Immune Response and Inflammation (2 papers). Rachel Craddock collaborates with scholars based in United Kingdom, Germany and Singapore. Rachel Craddock's co-authors include Janet M. Lord, Dagmar Scheel‐Toellner, Paul R. Webb, Lakhvir K. Assi, Mike Salmon, Keqing Wang, M Salmon, Helen Lockstone, Matthew T. Wayland and See Heng Wong and has published in prestigious journals such as Blood, The Journal of Immunology and PLoS ONE.

In The Last Decade

Rachel Craddock

9 papers receiving 620 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rachel Craddock United Kingdom	8	293	268	111	85	60	9	627
Jillian Bradley United States	10	177 0.6×	320 1.2×	105 0.9×	52 0.6×	29 0.5×	14	573
Steven M. Fine United States	11	380 1.3×	260 1.0×	41 0.4×	151 1.8×	286 4.8×	15	1.1k
Glendon Wu United States	6	330 1.1×	461 1.7×	33 0.3×	79 0.9×	70 1.2×	9	913
Cagla Akay United States	17	294 1.0×	101 0.4×	29 0.3×	58 0.7×	110 1.8×	33	718
Sarah K. Tschirner Germany	8	299 1.0×	482 1.8×	36 0.3×	85 1.0×	42 0.7×	15	905
Andrea Cabibbo Italy	8	255 0.9×	252 0.9×	23 0.2×	106 1.2×	168 2.8×	10	739
Ricardo N. Ramírez United States	13	386 1.3×	269 1.0×	18 0.2×	55 0.6×	19 0.3×	18	700
Anne N. Shemon Australia	14	266 0.9×	206 0.8×	23 0.2×	63 0.7×	31 0.5×	16	1.0k
Kanako Moritoh Japan	10	217 0.7×	196 0.7×	53 0.5×	142 1.7×	59 1.0×	15	661
M. Moriya Japan	12	306 1.0×	125 0.5×	25 0.2×	41 0.5×	144 2.4×	28	787

Countries citing papers authored by Rachel Craddock

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Craddock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Craddock

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

Harris, Laura W., Matthew T. Wayland, Martin J. Lan, et al.. (2008). The Cerebral Microvasculature in Schizophrenia: A Laser Capture Microdissection Study. PLoS ONE. 3(12). e3964–e3964. 86 indexed citations

Craddock, Rachel, Jeffrey Huang, Nathan Harris, et al.. (2008). Increased α-Defensins as a Blood Marker for Schizophrenia Susceptibility. Molecular & Cellular Proteomics. 7(7). 1204–1213. 36 indexed citations

Craddock, Rachel, Helen Lockstone, David A. Rider, et al.. (2007). Altered T-Cell Function in Schizophrenia: A Cellular Model to Investigate Molecular Disease Mechanisms. PLoS ONE. 2(8). e692–e692. 76 indexed citations

Scheel‐Toellner, Dagmar, Lakhvir K. Assi, Paul R. Webb, et al.. (2004). Clustering of death receptors in lipid rafts initiates neutrophil spontaneous apoptosis. Biochemical Society Transactions. 32(5). 679–681. 75 indexed citations

Scheel‐Toellner, Dagmar, Paul R. Webb, See Heng Wong, et al.. (2004). Early events in spontaneous neutrophil apoptosis. Biochemical Society Transactions. 32(3). 461–464. 63 indexed citations

Scheel‐Toellner, Dagmar, Keqing Wang, Rachel Craddock, et al.. (2004). Reactive oxygen species limit neutrophil life span by activating death receptor signaling. Blood. 104(8). 2557–2564. 167 indexed citations

Cunningham, Adam F., Peter R. Ashton, David A. Lammas, et al.. (2004). Tubercle bacilli generate a novel cell wall-associated pigment after long-term anaerobic culture. FEMS Microbiology Letters. 235(1). 191–198. 7 indexed citations

Scheel‐Toellner, Dagmar, See Heng Wong, Rachel Craddock, et al.. (2003). Inhibition of Neutrophil Apoptosis by Type 1 IFN Depends on Cross-Talk Between Phosphoinositol 3-Kinase, Protein Kinase C-δ, and NF-κB Signaling Pathways. The Journal of Immunology. 171(2). 1035–1041. 79 indexed citations

Scheel‐Toellner, Dagmar, Keqing Wang, Nico V. Henriquez, et al.. (2002). Cytokine-mediated inhibition of apoptosis in non-transformed T cells and neutrophils can be dissociated from protein kinase B activation. European Journal of Immunology. 32(2). 486–493. 38 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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