Michael S. Brown

4.5k total citations · 1 hit paper
23 papers, 3.7k citations indexed

About

Michael S. Brown is a scholar working on Genetics, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Michael S. Brown has authored 23 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Genetics, 5 papers in Pathology and Forensic Medicine and 4 papers in Surgery. Recurrent topics in Michael S. Brown's work include Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Cancer, Lipids, and Metabolism (3 papers). Michael S. Brown is often cited by papers focused on Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Cancer, Lipids, and Metabolism (3 papers). Michael S. Brown collaborates with scholars based in United States, South Korea and Australia. Michael S. Brown's co-authors include Joseph L. Goldstein, John M. Dietschy, Richard G.W. Anderson, Alain Perrelet, Lelio Orci, William A. Edwards, Leonard Laster, S. Harvey Mudd, Peter M. Loeb and J L Goldstein and has published in prestigious journals such as Cell, Journal of the American Chemical Society and Journal of Clinical Investigation.

In The Last Decade

Michael S. Brown

21 papers receiving 3.6k 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 SREBP Pathway: Regulation of Cholesterol Metabolism by Proteolysis of a Membrane-Bound Transcription Factor

1997 3.1k citations Michael S. Brown, Joseph L. Goldstein Cell profile →

Peers

Countries citing papers authored by Michael S. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Michael S. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael S. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Michael S. Brown. A scholar is included among the top collaborators of Michael S. Brown 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 S. Brown. Michael S. Brown 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

#	Work	Indexed citations
1	Increasing Accuracy in Predicting Student Test Scores with Regression Using Domain Reduction Technique of Principal Component Analysis 2023 ·(unknown), (unknown), (unknown), Michael S. Brown	0
2	Increasing Accuracy in Predicting Student Test Scores with Neural Networks using Domain Reduction Technique of Principal Component Analysis 2022 ·Michael S. Brown, (unknown), (unknown)	2
3	An Event Study of the Effects of Cryptocurrenty Thefts on Crypotcurrenty Prices 2020 ·Michael S. Brown, (unknown)	0
4	Dynamic hierarchical learning material for educational institutions 2018 ·Michael S. Brown, (unknown), (unknown)	1
5	Protocol for the examination of specimens from patients with non-Hodgkin lymphoma/lymphoid neoplasms. 2010 ·PubMed ·Jerry W. Hussong, Daniel A. Arber, Kyle T. Bradley, Michael S. Brown, (unknown), Monica E. de Baca, David W. Ellis, Kathryn Foucar, Eric D. Hsi, Elaine S. Jaffe, Michael Lill, (unknown), L. Jeffrey Medeiros, Sherrie L. Perkins, (unknown)	9
6	Protocol for the examination of specimens from patients with hematopoietic neoplasms of the ocular adnexa. 2010 ·PubMed ·Kyle T. Bradley, Daniel A. Arber, Michael S. Brown, (unknown), Sarah E. Coupland, Monica E. de Baca, David W. Ellis, Kathryn Foucar, (unknown), Elaine S. Jaffe, Michael Lill, (unknown), L. Jeffrey Medeiros, Sherrie L. Perkins, Jerry W. Hussong	1
7	Protocol for the Examination of Specimens From Patients With Non-Hodgkin Lymphoma/Lymphoid Neoplasms 2010 ·Archives of Pathology & Laboratory Medicine ·Jerry W. Hussong, Daniel A. Arber, Kyle T. Bradley, Michael S. Brown, Chung-Che Chang, Monica E. de Baca, David W. Ellis, Kathryn Foucar, Eric D. Hsi, Elaine S. Jaffe, Michael Lill, (unknown), L. Jeffrey Medeiros, Sherrie L. Perkins, (unknown)	6
8	Methacholine challenge in children with sickle cell disease: A case series 2008 ·Pediatric Pulmonology ·Robert C. Strunk, Michael S. Brown, Jessica H. Boyd, (unknown), Joshua J. Field, Michael R. DeBaun	33
9	Allosteric and Orthosteric Binding Modes of Two Nonpeptide Human Gonadotropin-Releasing Hormone Receptor Antagonists 2006 ·Biochemistry ·Susan K. Sullivan, Michael S. Brown, Yinghong Gao, Colin J. Loweth, Francisco M. Lio, Paul D. Crowe, R. Scott Struthers, Stephen F. Betz	10
10	PCR Analysis of the Immunoglobulin Heavy Chain Gene in Polyclonal Processes Can Yield Pseudoclonal Bands as an Artifact of Low B Cell Number 2000 ·Journal of Molecular Diagnostics ·Kojo S.J. Elenitoba‐Johnson, Sandra D. Bohling, (unknown), Michael S. Brown, Ryan S. Robetorye	65
11	Immunohistochemical Staining for DNA Topoisomerase IIa in Hodgkin’s Disease 1998 ·American Journal of Clinical Pathology ·Michael S. Brown, Joseph A. Holden, (unknown), Sherrie L. Perkins	9
12	Going Organic: Converting Patagonia's Cotton Product Line 1997 ·Journal of Industrial Ecology ·(unknown), Michael S. Brown	53
13	The SREBP Pathway: Regulation of Cholesterol Metabolism by Proteolysis of a Membrane-Bound Transcription Factor breakdown → 1997 ·Cell ·Michael S. Brown, Joseph L. Goldstein	3124
14	Atherosclerosis and its complications: contributions from the Association of American Physicians, 1886-1986. 1986 ·PubMed ·Joseph L. Goldstein, Michael S. Brown	4
15	Preparation and spectral properties of lipophilic fluorescein derivatives: application to plasma low-density lipoprotein 1981 ·Journal of the American Chemical Society ·John R. Falck, Monty Krieger, J GOLDSTEIN, Michael S. Brown	16
16	Familial hypercholesterolemia: model for genetic receptor disease. 1979 ·PubMed ·Michael S. Brown, J L Goldstein	26
17	Occurrence of low density lipoprotein receptors within large pits on the surface of human fibroblasts as demonstrated by freeze-etching 1978 ·Experimental Cell Research ·Lelio Orci, (unknown), Alain Perrelet, Richard G.W. Anderson, Joseph L. Goldstein, Michael S. Brown	96
18	Homozygous familial hypercholesterolemia: specificity of the biochemical defect in cultured cells and feasibility of prenatal detection. 1974 ·PubMed ·Joseph L. Goldstein, M. J. E. Harrod, Michael S. Brown	34
19	Ulcerative ileitis in infancy 1971 ·The Journal of Pediatrics ·Michael S. Brown	1
20	Homocystinuria due to cystathionine synthase deficiency: the effect of pyridoxine 1970 ·Journal of Clinical Investigation ·S. Harvey Mudd, William A. Edwards, Peter M. Loeb, Michael S. Brown, Leonard Laster	73

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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