Forbes D. Porter

12.8k total citations
213 papers, 8.6k citations indexed

About

Forbes D. Porter is a scholar working on Physiology, Molecular Biology and Surgery. According to data from OpenAlex, Forbes D. Porter has authored 213 papers receiving a total of 8.6k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Physiology, 86 papers in Molecular Biology and 64 papers in Surgery. Recurrent topics in Forbes D. Porter's work include Lysosomal Storage Disorders Research (109 papers), Cholesterol and Lipid Metabolism (59 papers) and Peroxisome Proliferator-Activated Receptors (35 papers). Forbes D. Porter is often cited by papers focused on Lysosomal Storage Disorders Research (109 papers), Cholesterol and Lipid Metabolism (59 papers) and Peroxisome Proliferator-Activated Receptors (35 papers). Forbes D. Porter collaborates with scholars based in United States, United Kingdom and Canada. Forbes D. Porter's co-authors include Christopher A. Wassif, Gail E. Herman, Heiner Westphal, Nicole M. Yanjanin, Frances M. Platt, Simona Bianconi, Christopher A. Walsh, Edwin S. Monuki, Rohini Sidhu and Daniel S. Ory and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Forbes D. Porter

203 papers receiving 8.5k citations

Peers

Forbes D. Porter

PHYSI

SURGE

GENET

William J. Pavan United States

Thomas Franke United States

Giancarlo Parenti Italy

Robert Feil Germany

Mathieu Bollen Belgium

Wuh‐Liang Hwu Taiwan

Sara C. Kozma United States

Bwee Tien Poll‐The Netherlands

Barry I. Posner Canada

Yoshitomo Oka Japan

William J. Pavan United States

Forbes D. Porter

4.9k ×1.1

1.4k ×0.5

PHYSI

1.2k ×0.6

SURGE

1.4k ×1.0

GENET

2.7k ×2.9

Citations per year, relative to Forbes D. Porter Forbes D. Porter (= 1×) peers William J. Pavan

Countries citing papers authored by Forbes D. Porter

Since Specialization

Citations

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

Fields of papers citing papers by Forbes D. Porter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Forbes D. Porter. 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 Forbes D. Porter. The network helps show where Forbes D. Porter may publish in the future.

Co-authorship network of co-authors of Forbes D. Porter

This figure shows the co-authorship network connecting the top 25 collaborators of Forbes D. Porter. A scholar is included among the top collaborators of Forbes D. Porter 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 Forbes D. Porter. Forbes D. Porter 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

Davidson, Cristin, et al.. (2025). Prevalence of Neutralizing Antibodies to AAV2 and AAV9 in Individuals with Niemann-Pick Disease, Type C1. Human Gene Therapy. 36(7-8). 729–737.

Robbins, Kenneth E., et al.. (2024). Cerebrospinal Fluid and Serum Neuron‐Specific Enolase in Niemann‐Pick Disease Type C1. American Journal of Medical Genetics Part A. 197(5). e63970–e63970.

Cawley, Niamh X., et al.. (2024). Elevated cerebrospinal fluid glial fibrillary acidic protein levels in Smith-Lemli-Opitz syndrome. Molecular Genetics and Metabolism. 143(1-2). 108570–108570. 1 indexed citations

Bianconi, Simona, et al.. (2024). Assessing Postnatal Mortality in Smith–Lemli–Opitz Syndrome. American Journal of Medical Genetics Part A. 197(2). e63875–e63875. 1 indexed citations

Dang, An, Eva H. Baker, Cristan Farmer, et al.. (2023). Brain proton MR spectroscopy measurements in CLN3 disease. Molecular Genetics and Metabolism. 139(1). 107584–107584. 1 indexed citations

Dang, An, Irene J. Chang, Lynne A. Wolfe, et al.. (2023). Elevated oxysterol and N‐palmitoyl‐O‐phosphocholineserine levels in congenital disorders of glycosylation. Journal of Inherited Metabolic Disease. 46(2). 326–334. 4 indexed citations

Zalewski, Christopher, Sarah Sydlowski, Kelly King, et al.. (2021). Auditory phenotype of Smith–Lemli–Opitz syndrome. American Journal of Medical Genetics Part A. 185(4). 1131–1141. 4 indexed citations

Barrera, Francisco J., Skand Shekhar, Forbes D. Porter, et al.. (2021). Scoping review of COVID-19-related systematic reviews and meta-analyses: can we really have confidence in their results?. Postgraduate Medical Journal. 98(1159). 372–379. 7 indexed citations

Suzuki, Akiko, Kenichi Ogata, Hiroki Yoshioka, et al.. (2020). Disruption of Dhcr7 and Insig1/2 in cholesterol metabolism causes defects in bone formation and homeostasis through primary cilium formation. Bone Research. 8(1). 1–1. 34 indexed citations

10.

Barrera, Francisco J., Skand Shekhar, Oscar J. Ponce, et al.. (2020). Prevalence of Diabetes and Hypertension and Their Associated Risks for Poor Outcomes in Covid-19 Patients. Journal of the Endocrine Society. 4(9). bvaa102–bvaa102. 53 indexed citations

11.

Shekhar, Skand, Crystal Kamilaris, Graeme Eisenhofer, et al.. (2020). Endocrine Conditions and COVID-19. Hormone and Metabolic Research. 52(7). 471–484. 32 indexed citations

12.

Cawley, Niamh X., et al.. (2020). Abnormal LAMP1 glycosylation may play a role in Niemann-Pick disease, type C pathology. PLoS ONE. 15(1). e0227829–e0227829. 24 indexed citations

13.

Colaço, Alexandria, Elias Adriaenssens, Lianne C. Davis, et al.. (2019). Mechanistic convergence and shared therapeutic targets in Niemann‐Pick disease. Journal of Inherited Metabolic Disease. 43(3). 574–585. 15 indexed citations

14.

Wassif, Christopher A., James Iben, Luis Sánchez‐Pulido, et al.. (2015). High incidence of unrecognized visceral/neurological late-onset Niemann-Pick disease, type C1, predicted by analysis of massively parallel sequencing data sets. Genetics in Medicine. 18(1). 41–48. 156 indexed citations

15.

Gropman, Andrea, et al.. (2013). Brain magnetic resonance imaging findings in smith–lemli–opitz syndrome. American Journal of Medical Genetics Part A. 161(10). 2407–2419. 35 indexed citations

16.

Ulatowski, Lynn, Robert S. Parker, Cristin Davidson, et al.. (2011). Altered vitamin E status in Niemann-Pick type C disease. Journal of Lipid Research. 52(7). 1400–1410. 33 indexed citations

17.

Tierney, Elaine, et al.. (2009). Analysis of short‐term behavioral effects of dietary cholesterol supplementation in Smith–Lemli–Opitz syndrome. American Journal of Medical Genetics Part A. 152A(1). 91–95. 46 indexed citations

18.

Porter, Forbes D.. (2002). Malformation syndromes due to inborn errors of cholesterol synthesis. Journal of Clinical Investigation. 110(6). 715–724. 4 indexed citations

19.

Porter, Forbes D.. (2002). Malformation syndromes due to inborn errors of cholesterol synthesis. Journal of Clinical Investigation. 110(6). 715–724. 77 indexed citations

20.

Battaile, K.P., Cheryl L. Maslen, Christopher A. Wassif, et al.. (1999). A Simple PCR-Based Assay Allows Detection of a Common Mutation, IVS8-1G→C, in DHCR7 in Smith-Lemli-Opitz Syndrome. Genetic Testing. 3(4). 361–363. 10 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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