Sarah Macklin

671 total citations
21 papers, 423 citations indexed

About

Sarah Macklin is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Sarah Macklin has authored 21 papers receiving a total of 423 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 7 papers in Molecular Biology and 4 papers in Oncology. Recurrent topics in Sarah Macklin's work include BRCA gene mutations in cancer (7 papers), Genomics and Rare Diseases (5 papers) and Mitochondrial Function and Pathology (3 papers). Sarah Macklin is often cited by papers focused on BRCA gene mutations in cancer (7 papers), Genomics and Rare Diseases (5 papers) and Mitochondrial Function and Pathology (3 papers). Sarah Macklin collaborates with scholars based in United States, Germany and Denmark. Sarah Macklin's co-authors include Paldeep S. Atwal, Stephanie L. Hines, Jennifer Gass, Nisha Durand, Eric W. Klee, Filippo Pinto e Vairo, Colin Halverson, Jennifer B. McCormick, Abd Moain Abu Dabrh and Patrick R. Blackburn and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Frontiers in Oncology.

In The Last Decade

Sarah Macklin

20 papers receiving 420 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarah Macklin United States 9 183 176 121 54 43 21 423
Khalid Al‐Thihli Oman 13 116 0.6× 219 1.2× 135 1.1× 66 1.2× 21 0.5× 50 456
Chupong Ittiwut Thailand 14 151 0.8× 261 1.5× 60 0.5× 31 0.6× 37 0.9× 53 496
Ahmed Alfares Saudi Arabia 11 209 1.1× 234 1.3× 108 0.9× 32 0.6× 45 1.0× 38 474
Rehab Ali Qatar 14 212 1.2× 286 1.6× 62 0.5× 22 0.4× 30 0.7× 21 554
Sunita Bijarnia‐Mahay India 13 128 0.7× 257 1.5× 241 2.0× 75 1.4× 18 0.4× 63 522
Cynthia S. Gubbels United States 14 196 1.1× 160 0.9× 238 2.0× 47 0.9× 32 0.7× 19 606
Yousheng Yan China 10 68 0.4× 181 1.0× 37 0.3× 26 0.5× 60 1.4× 46 322
Leesa M. Linck United States 10 135 0.7× 458 2.6× 66 0.5× 27 0.5× 40 0.9× 13 621
Dina Marek‐Yagel Israel 12 78 0.4× 358 2.0× 63 0.5× 28 0.5× 16 0.4× 26 507
Marwan Nashabat Saudi Arabia 13 105 0.6× 229 1.3× 130 1.1× 28 0.5× 11 0.3× 25 422

Countries citing papers authored by Sarah Macklin

Since Specialization
Citations

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

Fields of papers citing papers by Sarah Macklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah Macklin

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

All Works

20 of 20 papers shown
1.
Wu, Xinglin, Sarah Macklin, Yanling Zhang, et al.. (2025). Induction of proximal tubular proliferation and lengthening in response to sodium glucose linked cotransporter‐2 inhibition in experimental rats. Journal of Diabetes Investigation. 16(7). 1232–1242.
2.
Macklin, Sarah, et al.. (2020). Characterization of a Pathogenic Variant in the ABCD1 Gene Through Protein Molecular Modeling. SHILAP Revista de lepidopterología. 2020. 1–7. 2 indexed citations
3.
Macklin, Sarah, et al.. (2020). Examination of Molecular Effects ofMYLKDeletion in a Patient with Extensive Aortic, Carotid, and Abdominal Dissections That Underlie the Genetic Dysfunction. SHILAP Revista de lepidopterología. 2020. 1–7. 1 indexed citations
4.
5.
Macklin, Sarah, et al.. (2019). Patients with pathogenic variants for breast cancer other than BRCA1 and BRCA2: qualitative interviews about health care experiences. Hereditary Cancer in Clinical Practice. 17(1). 32–32. 4 indexed citations
6.
Macklin, Sarah, et al.. (2019). Patients’ views on variants of uncertain significance across indications. Journal of Community Genetics. 11(2). 139–145. 47 indexed citations
7.
Macklin, Sarah, et al.. (2019). Enhanced family history screening is crucial to individualized cancer surveillance.. Journal of Clinical Oncology. 37(15_suppl). e13161–e13161. 1 indexed citations
8.
9.
Macklin, Sarah, et al.. (2018). Incidence of Pathogenic Variants in Those With a Family History of Pancreatic Cancer. Frontiers in Oncology. 8. 330–330. 3 indexed citations
10.
Macklin, Sarah, et al.. (2018). Physician interpretation of variants of uncertain significance. Familial Cancer. 18(1). 121–126. 56 indexed citations
11.
Macklin, Sarah, et al.. (2018). Personalized molecular modeling for pinpointing associations of protein dysfunction and variants associated with hereditary cancer syndromes. Molecular Genetics & Genomic Medicine. 6(5). 805–810. 3 indexed citations
12.
Kaiwar, Charu, Sarah Macklin, Jennifer Gass, et al.. (2017). Late onset asymptomatic pancreatic neuroendocrine tumor – A case report on the phenotypic expansion for MEN1. Hereditary Cancer in Clinical Practice. 15(1). 10–10. 1 indexed citations
13.
Blackburn, Patrick R., Duygu Selcen, Jennifer Gass, et al.. (2017). Whole exome sequencing of a patient with suspected mitochondrial myopathy reveals novel compound heterozygous variants in RYR1. Molecular Genetics & Genomic Medicine. 5(3). 295–302. 4 indexed citations
14.
Gass, Jennifer, et al.. (2017). Expanded phenotype in a patient with spastic paraplegia 7. Clinical Case Reports. 5(10). 1620–1622. 8 indexed citations
15.
Macklin, Sarah, Nisha Durand, Paldeep S. Atwal, & Stephanie L. Hines. (2017). Observed frequency and challenges of variant reclassification in a hereditary cancer clinic. Genetics in Medicine. 20(3). 346–350. 83 indexed citations
16.
Macklin, Sarah, et al.. (2017). The role of screening MRI in the era of next generation sequencing and moderate-risk genetic mutations. Familial Cancer. 17(1). 167–173. 2 indexed citations
17.
Gass, Jennifer, et al.. (2017). Maple syrup urine disease: mechanisms and management. The Application of Clinical Genetics. Volume 10. 57–66. 157 indexed citations
18.
Gass, Jennifer, et al.. (2017). A case of contralateral breast cancer and skin cancer associated with NBN heterozygous pathogenic variant c.698_701delAACA. Familial Cancer. 16(4). 551–553. 4 indexed citations
19.
Macklin, Sarah, Dawn A. Laney, Emily C. Lisi, Andrea M. Atherton, & Elizabeth Smith. (2017). The Psychosocial Impact of Carrying a Debated Variant in the GLA Gene. Journal of Genetic Counseling. 27(1). 217–224. 12 indexed citations
20.
Blackburn, Patrick R., et al.. (2016). Case report: 5 year follow-up of adult late-onset mitochondrial encephalomyopathy with lactic acid and stroke-like episodes (MELAS). Molecular Genetics and Metabolism Reports. 9. 94–97. 17 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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