Michael Proctor

30.3k total citations · 2 hit papers
34 papers, 4.5k citations indexed

About

Michael Proctor is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Michael Proctor has authored 34 papers receiving a total of 4.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Michael Proctor's work include Fungal and yeast genetics research (12 papers), Inflammatory Biomarkers in Disease Prognosis (10 papers) and Cancer, Lipids, and Metabolism (5 papers). Michael Proctor is often cited by papers focused on Fungal and yeast genetics research (12 papers), Inflammatory Biomarkers in Disease Prognosis (10 papers) and Cancer, Lipids, and Metabolism (5 papers). Michael Proctor collaborates with scholars based in United States, United Kingdom and Canada. Michael Proctor's co-authors include Donald C. McMillan, David Morrison, Paul G. Horgan, Guri Giaever, Corey Nislow, Ronald W. Davis, Dinesh Talwar, Colin D. Fletcher, Alan K. Foulis and D S O’Reilly and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Genetics.

In The Last Decade

Michael Proctor

34 papers receiving 4.5k 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.

The Chemical Genomic Portrait of Yeast: Uncovering a Phenotype for All Genes

2008 744 citations Eula Fung, Shawn Hoon et al. profile →
A comparison of inflammation-based prognostic scores in patients with cancer. A Glasgow Inflammation Outcome Study

2011 644 citations Michael Proctor, David Morrison et al. European Journal of Cancer profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Proctor United States	23	2.1k	1.7k	578	493	492	34	4.5k
Timothy W. Synold United States	39	2.4k 1.1×	2.3k 1.4×	475 0.8×	509 1.0×	651 1.3×	194	5.9k
Sanjay Goel United States	37	1.7k 0.8×	2.9k 1.7×	346 0.6×	549 1.1×	879 1.8×	269	5.2k
Zhong Chen China	41	2.8k 1.3×	1.1k 0.7×	402 0.7×	1.0k 2.1×	968 2.0×	146	5.2k
Carol Bernstein United States	35	2.4k 1.1×	1.3k 0.8×	1.0k 1.8×	559 1.1×	309 0.6×	105	4.5k
Chunxia Chen China	34	2.1k 1.0×	1.0k 0.6×	433 0.7×	498 1.0×	360 0.7×	183	5.1k
M. Micksche Austria	47	2.7k 1.3×	1.9k 1.1×	377 0.7×	619 1.3×	693 1.4×	187	6.0k
Haiyan Li China	40	2.7k 1.3×	1.2k 0.7×	618 1.1×	1.3k 2.5×	715 1.5×	270	5.8k
William P. Bennett United States	35	2.5k 1.2×	2.0k 1.2×	494 0.9×	1.3k 2.6×	774 1.6×	62	5.0k
Øystein Bruserud Norway	45	3.9k 1.8×	1.7k 1.0×	303 0.5×	823 1.7×	351 0.7×	350	8.2k

Countries citing papers authored by Michael Proctor

Since Specialization

Citations

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

Fields of papers citing papers by Michael Proctor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Proctor

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

All Works

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20 of 20 papers shown

Faulkner, David, Karen C. Bustillo, Dahlia D. An, et al.. (2024). Electron microscopy evidence of gadolinium toxicity being mediated through cytoplasmic membrane dysregulation. Metallomics. 16(10). 1 indexed citations

Pallares, Roger M., Dahlia D. An, Solène Hébert, et al.. (2023). Screening the complex biological behavior of late lanthanides through genome-wide interactions. Metallomics. 15(8). 4 indexed citations

Pallares, Roger M., Dahlia D. An, Solène Hébert, et al.. (2022). Delineating toxicity mechanisms associated with MRI contrast enhancement through a multidimensional toxicogenomic profiling of gadolinium. Molecular Omics. 18(3). 237–248. 11 indexed citations

Pallares, Roger M., Dahlia D. An, Solène Hébert, et al.. (2022). Identifying Toxicity Mechanisms Associated with Early Lanthanide Exposure through Multidimensional Genome-Wide Screening. ACS Omega. 7(38). 34412–34419. 11 indexed citations

Schlecht, Ulrich, Justin Smith, Sundari Suresh, et al.. (2017). Quantitative analysis of protein interaction network dynamics in yeast. Molecular Systems Biology. 13(7). 934–934. 30 indexed citations

Smith, Justin, Ulrich Schlecht, Weihong Xu, et al.. (2017). A method for high‐throughput production of sequence‐verified DNA libraries and strain collections. Molecular Systems Biology. 13(2). 913–913. 33 indexed citations

Proctor, Michael, Donald C. McMillan, Paul G. Horgan, et al.. (2015). Systemic Inflammation Predicts All-Cause Mortality: A Glasgow Inflammation Outcome Study. PLoS ONE. 10(3). e0116206–e0116206. 130 indexed citations

Schlecht, Ulrich, Sundari Suresh, Weihong Xu, et al.. (2014). A functional screen for copper homeostasis genes identifies a pharmacologically tractable cellular system. BMC Genomics. 15(1). 263–263. 22 indexed citations

Lopez‐Llorca, Luis V., Ana Conesa, Anna Y. Lee, et al.. (2012). Identification of yeast genes that confer resistance to chitosan oligosaccharide (COS) using chemogenomics. BMC Genomics. 13(1). 267–267. 47 indexed citations

10.

Proctor, Michael, Donald C. McMillan, David Morrison, et al.. (2012). A derived neutrophil to lymphocyte ratio predicts survival in patients with cancer. British Journal of Cancer. 107(4). 695–699. 392 indexed citations

11.

Wallace, Iain M., Malene L. Urbanus, Genna M. Luciani, et al.. (2011). Compound Prioritization Methods Increase Rates of Chemical Probe Discovery in Model Organisms. Chemistry & Biology. 18(10). 1273–1283. 38 indexed citations

12.

Proctor, Michael, David Morrison, Dinesh Talwar, et al.. (2011). A comparison of inflammation-based prognostic scores in patients with cancer. A Glasgow Inflammation Outcome Study. European Journal of Cancer. 47(17). 2633–2641. 644 indexed citations breakdown →

13.

Shafique, Kashif, Michael Proctor, Donald C. McMillan, et al.. (2011). Systemic inflammation and survival of patients with prostate cancer: evidence from the Glasgow Inflammation Outcome Study. Prostate Cancer and Prostatic Diseases. 15(2). 195–201. 65 indexed citations

14.

Proctor, Michael, David Morrison, Dinesh Talwar, et al.. (2011). An inflammation-based prognostic score (mGPS) predicts cancer survival independent of tumour site: a Glasgow Inflammation Outcome Study. British Journal of Cancer. 104(4). 726–734. 432 indexed citations

15.

Proctor, Michael, Malene L. Urbanus, Eula Fung, et al.. (2011). The Automated Cell: Compound and Environment Screening System (ACCESS) for Chemogenomic Screening. Methods in molecular biology. 759. 239–269. 19 indexed citations

16.

Proctor, Michael, Dinesh Talwar, D S O’Reilly, et al.. (2010). The relationship between the presence and site of cancer, an inflammation-based prognostic score and biochemical parameters. Initial results of the Glasgow Inflammation Outcome Study. British Journal of Cancer. 103(6). 870–876. 173 indexed citations

17.

Hoon, Shawn, Andrew Smith, Iain M. Wallace, et al.. (2008). An integrated platform of genomic assays reveals small-molecule bioactivities. Nature Chemical Biology. 4(8). 498–506. 152 indexed citations

18.

St.Onge, Robert P., Ramamurthy Mani, Julia Oh, et al.. (2007). Systematic pathway analysis using high-resolution fitness profiling of combinatorial gene deletions. Nature Genetics. 39(2). 199–206. 243 indexed citations

19.

Lee, William, Robert P. St.Onge, Michael Proctor, et al.. (2005). Genome-Wide Requirements for Resistance to Functionally Distinct DNA-Damaging Agents. PLoS Genetics. 1(2). e24–e24. 130 indexed citations

20.

Giaever, Guri, Patrick Flaherty, Jochen Kumm, et al.. (2004). Chemogenomic profiling: Identifying the functional interactions of small molecules in yeast. Proceedings of the National Academy of Sciences. 101(3). 793–798. 377 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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