Philip Smith

706 total citations · 1 hit paper
6 papers, 202 citations indexed

About

Philip Smith is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Philip Smith has authored 6 papers receiving a total of 202 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cancer Research and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Philip Smith's work include Cancer Genomics and Diagnostics (4 papers), DNA Repair Mechanisms (2 papers) and Renal cell carcinoma treatment (2 papers). Philip Smith is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), DNA Repair Mechanisms (2 papers) and Renal cell carcinoma treatment (2 papers). Philip Smith collaborates with scholars based in United Kingdom, Italy and Germany. Philip Smith's co-authors include Lena Morrill Gavarró, James D. Brenton, Florian Markowetz, Kerstin Haase, Maxime Tarabichi, Peter Van Loo, Ruben M. Drews, Bárbara Hernando, Lydia Liu and Tom Lesluyes and has published in prestigious journals such as Nature, Clinical Cancer Research and Human Molecular Genetics.

In The Last Decade

Philip Smith

6 papers receiving 200 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.

A pan-cancer compendium of chromosomal instability

2022 135 citations Ruben M. Drews, Bárbara Hernando et al. Nature profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Philip Smith United Kingdom	5	125	96	49	39	39	6	202
Lena Morrill Gavarró United Kingdom	3	106 0.8×	90 0.9×	54 1.1×	16 0.4×	28 0.7×	3	183
Laura Caleca Italy	9	242 1.9×	149 1.6×	57 1.2×	25 0.6×	86 2.2×	11	332
Michela Coan Italy	6	220 1.8×	122 1.3×	60 1.2×	25 0.6×	16 0.4×	7	271
Simona Frezzini Italy	6	113 0.9×	89 0.9×	93 1.9×	42 1.1×	11 0.3×	8	231
Mayinuer Maitituoheti United States	8	247 2.0×	83 0.9×	75 1.5×	31 0.8×	34 0.9×	12	352
Laura González-Silva Spain	5	149 1.2×	76 0.8×	70 1.4×	24 0.6×	27 0.7×	6	234
Wei-Chao Hao China	9	216 1.7×	156 1.6×	74 1.5×	16 0.4×	29 0.7×	12	348
Munemasa Nagao Japan	7	143 1.1×	37 0.4×	79 1.6×	13 0.3×	66 1.7×	13	211
Rita Danesi Italy	10	126 1.0×	42 0.4×	43 0.9×	14 0.4×	99 2.5×	24	237
Jiangnan Qiu China	9	286 2.3×	218 2.3×	36 0.7×	46 1.2×	10 0.3×	13	359

Countries citing papers authored by Philip Smith

Since Specialization

Citations

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

Fields of papers citing papers by Philip Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Smith

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

Mirza, Hasan, Darren Ennis, Philip Smith, et al.. (2022). The Genomic Landscape of Early-Stage Ovarian High-Grade Serous Carcinoma. Clinical Cancer Research. 28(13). 2911–2922. 28 indexed citations

2.

Drews, Ruben M., Bárbara Hernando, Maxime Tarabichi, et al.. (2022). A pan-cancer compendium of chromosomal instability. Nature. 606(7916). 976–983. 135 indexed citations breakdown →

3.

Yngvadóttir, Bryndís, Avgi Andreou, Laia Bassaganyas, et al.. (2022). Frequency of pathogenic germline variants in cancer susceptibility genes in 1336 renal cell carcinoma cases. Human Molecular Genetics. 31(17). 3001–3011. 22 indexed citations

4.

Whitworth, James, Ruth Casey, Philip Smith, et al.. (2021). Familial wild-type gastrointestinal stromal tumour in association with germline truncating variants in both SDHA and PALB2. European Journal of Human Genetics. 29(7). 1139–1145. 1 indexed citations

5.

Smith, Philip, James W. Whitworth, Hannah D. West, et al.. (2020). Characterization of renal cell carcinoma‐associated constitutional chromosome abnormalities by genome sequencing. Genes Chromosomes and Cancer. 59(6). 333–347. 4 indexed citations

6.

Smith, Philip, Hannah D. West, James Whitworth, et al.. (2020). Pathogenic germline variants in patients with features of hereditary renal cell carcinoma: Evidence for further locus heterogeneity. Genes Chromosomes and Cancer. 60(1). 5–16. 12 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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