Gary McIntosh

608 total citations
9 papers, 491 citations indexed

About

Gary McIntosh is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Gary McIntosh has authored 9 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Genetics. Recurrent topics in Gary McIntosh's work include Cancer-related Molecular Pathways (3 papers), Alzheimer's disease research and treatments (2 papers) and Cell Adhesion Molecules Research (2 papers). Gary McIntosh is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Alzheimer's disease research and treatments (2 papers) and Cell Adhesion Molecules Research (2 papers). Gary McIntosh collaborates with scholars based in United Kingdom and Canada. Gary McIntosh's co-authors include Ian D. Milton, James A. Henry, T.W.J. Lennard, James Anderson, C. H. W. Horne, Brian Angus, Michael Steward, Charles H. W. Horne, Brian Angus and Peter H. Watson and has published in prestigious journals such as American Journal Of Pathology, The Journal of Pathology and British Journal of Haematology.

In The Last Decade

Gary McIntosh

9 papers receiving 484 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gary McIntosh United Kingdom	8	249	191	77	75	72	9	491
Y Kokai Japan	12	351 1.4×	311 1.6×	40 0.5×	39 0.5×	62 0.9×	23	753
D Oberberg Germany	12	186 0.7×	145 0.8×	43 0.6×	53 0.7×	40 0.6×	22	499
Abdullah Alsuliman United States	9	225 0.9×	105 0.5×	45 0.6×	75 1.0×	45 0.6×	15	588
David Dadey United States	11	103 0.4×	358 1.9×	55 0.7×	64 0.9×	34 0.5×	21	661
Emily C. Brantley United States	7	268 1.1×	263 1.4×	72 0.9×	96 1.3×	88 1.2×	8	593
Aditi Bapat United States	8	265 1.1×	285 1.5×	60 0.8×	54 0.7×	18 0.3×	10	686
Tilahun Jiffar United States	13	213 0.9×	371 1.9×	47 0.6×	25 0.3×	41 0.6×	14	636
Indira Joshi United States	12	116 0.5×	209 1.1×	34 0.4×	88 1.2×	59 0.8×	30	465
Kenji Wakiya Japan	10	105 0.4×	229 1.2×	41 0.5×	84 1.1×	63 0.9×	24	477
Amber C. Donahue United States	14	130 0.5×	286 1.5×	35 0.5×	122 1.6×	86 1.2×	22	583

Countries citing papers authored by Gary McIntosh

Since Specialization

Citations

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

Fields of papers citing papers by Gary McIntosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gary McIntosh

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

Mukaetova‐Ladinska, Elizabeta B., Alina Andras, Evelyn Jaros, et al.. (2012). Synaptic Proteins and Choline Acetyltransferase Loss in Visual Cortex in Dementia With Lewy Bodies. Journal of Neuropathology & Experimental Neurology. 72(1). 53–60. 43 indexed citations

Happerfield, Lisa, Gary McIntosh, Mark Rees, et al.. (2009). Phospho‐STAT5 and phospho‐Akt expression in chronic myeloproliferative neoplasms. British Journal of Haematology. 147(4). 495–506. 56 indexed citations

Mukaetova-Ladinska, EB, Alina Andras, Joaquim Cerejeira, et al.. (2008). Alpha- and Gamma-Synuclein Proteins Are Present in Cerebrospinal Fluid and Are Increased in Aged Subjects with Neurodegenerative and Vascular Changes. Dementia and Geriatric Cognitive Disorders. 26(1). 32–42. 35 indexed citations

McIntosh, Gary, et al.. (2007). The First Quantitative Comparison of Immunohistochemical Rabbit and Mouse Monoclonal Antibody Affinities Using Biacore Analysis. Journal of Histotechnology. 30(3). 177–182. 7 indexed citations

Marshall, I. Howard, et al.. (2004). Wild-Type Estrogen Receptor Beta Expression in Normal and Neoplastic Paraffin-Embedded Tissues. 23(1). 11–18. 5 indexed citations

McIntosh, Gary, Andrew J. Lodge, Peter H. Watson, et al.. (1999). NCL-CD10–270: A New Monoclonal Antibody Recognizing CD10 in Paraffin-Embedded Tissue. American Journal Of Pathology. 154(1). 77–82. 115 indexed citations

McIntosh, Gary, James Anderson, R. Johnstone, et al.. (1997). A novel quantitative immunoassay system for p53 using antibodies selected for optimum designation of p53 status.. Journal of Clinical Pathology. 50(2). 143–147. 19 indexed citations

Anderson, John, Dina Tiniakos, Gary McIntosh, et al.. (1996). RETINOBLASTOMA PROTEIN IN HUMAN BREAST CARCINOMA: IMMUNOHISTOCHEMICAL STUDY USING A NEW MONOCLONAL ANTIBODY EFFECTIVE ON ROUTINELY PROCESSED TISSUES. The Journal of Pathology. 180(1). 65–70. 24 indexed citations

McIntosh, Gary, James Anderson, Ian D. Milton, et al.. (1995). Determination of the prognostic value of cyclin D1 overexpression in breast cancer.. PubMed. 11(5). 885–91. 187 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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