Hermela Shimelis

3.8k total citations · 2 hit papers
24 papers, 1.7k citations indexed

About

Hermela Shimelis is a scholar working on Genetics, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Hermela Shimelis has authored 24 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 9 papers in Pathology and Forensic Medicine and 8 papers in Molecular Biology. Recurrent topics in Hermela Shimelis's work include BRCA gene mutations in cancer (12 papers), Genetic factors in colorectal cancer (7 papers) and Genomics and Rare Diseases (6 papers). Hermela Shimelis is often cited by papers focused on BRCA gene mutations in cancer (12 papers), Genetic factors in colorectal cancer (7 papers) and Genomics and Rare Diseases (6 papers). Hermela Shimelis collaborates with scholars based in United States, Australia and Canada. Hermela Shimelis's co-authors include Fergus J. Couch, Steven N. Hart, Chunling Hu, Eric C. Polley, Jenna Lilyquist, David E. Goldgar, Jill S. Dolinsky, Holly LaDuca, Jie Na and Raymond M. Moore and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Journal of Biological Chemistry.

In The Last Decade

Hermela Shimelis

23 papers receiving 1.7k 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.

Associations Between Cancer Predisposition Testing Panel Genes and Breast Cancer

2017 393 citations Fergus J. Couch, Hermela Shimelis et al. JAMA Oncology profile →
Association Between Inherited Germline Mutations in Cancer Predisposition Genes and Risk of Pancreatic Cancer

2018 345 citations Chunling Hu, Steven N. Hart et al. JAMA profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hermela Shimelis United States	15	957	821	625	595	375	24	1.7k
Miguel de la Hoya Spain	26	945 1.0×	1.0k 1.3×	575 0.9×	488 0.8×	565 1.5×	92	1.9k
Kirsi Syrjäkoski Finland	20	933 1.0×	803 1.0×	409 0.7×	304 0.5×	333 0.9×	26	1.5k
Ming Gang Lin United States	16	561 0.6×	777 0.9×	516 0.8×	410 0.7×	163 0.4×	17	1.4k
Zdeněk Kleibl Czechia	23	557 0.6×	745 0.9×	326 0.5×	473 0.8×	277 0.7×	77	1.4k
Lovise Mæhle Norway	25	918 1.0×	424 0.5×	525 0.8×	474 0.8×	441 1.2×	61	1.6k
Ana Osório Spain	27	1.2k 1.2×	1.2k 1.5×	703 1.1×	465 0.8×	328 0.9×	72	2.0k
John Kidd United States	12	780 0.8×	471 0.6×	541 0.9×	575 1.0×	509 1.4×	28	1.4k
Åke Borg Sweden	18	594 0.6×	458 0.6×	270 0.4×	379 0.6×	169 0.5×	33	1.1k
Tie Fan China	18	572 0.6×	546 0.7×	472 0.8×	455 0.8×	181 0.5×	53	1.1k
Kathryn P. Pennington United States	15	971 1.0×	818 1.0×	423 0.7×	956 1.6×	340 0.9×	50	2.0k

Countries citing papers authored by Hermela Shimelis

Since Specialization

Citations

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

Fields of papers citing papers by Hermela Shimelis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hermela Shimelis

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Savatt, Juliann M., Hermela Shimelis, Andrés Moreno-De-Luca, et al.. (2022). Frequency of truncating FLCN variants and Birt-Hogg-Dubé–associated phenotypes in a health care system population. Genetics in Medicine. 24(9). 1857–1866. 14 indexed citations

Shimelis, Hermela, Matthew T. Oetjens, Lauren K. Walsh, et al.. (2022). Prevalence and Penetrance of Rare Pathogenic Variants in Neurodevelopmental Psychiatric Genes in a Health Care System Population. American Journal of Psychiatry. 180(1). 65–72. 11 indexed citations

Xu, Jin, et al.. (2022). Regulation of p27 (Kip1) by Ubiquitin E3 Ligase RNF6. Pharmaceutics. 14(4). 802–802. 4 indexed citations

Hu, Chunling, Eric C. Polley, Siddhartha Yadav, et al.. (2020). The Contribution of Germline Predisposition Gene Mutations to Clinical Subtypes of Invasive Breast Cancer From a Clinical Genetic Testing Cohort. JNCI Journal of the National Cancer Institute. 112(12). 1231–1241. 62 indexed citations

Yadav, Siddhartha, Holly LaDuca, Eric C. Polley, et al.. (2020). Racial and Ethnic Differences in Multigene Hereditary Cancer Panel Test Results for Women With Breast Cancer. JNCI Journal of the National Cancer Institute. 113(10). 1429–1433. 23 indexed citations

LaDuca, Holly, Tina Pesaran, Elizabeth Chao, et al.. (2019). Classification of variants of uncertain significance in BRCA1 and BRCA2 using personal and family history of cancer from individuals in a large hereditary cancer multigene panel testing cohort. Genetics in Medicine. 22(4). 701–708. 28 indexed citations

Lee, Kristy, Bryce A. Seifert, Hermela Shimelis, et al.. (2018). Clinical validity assessment of genes frequently tested on hereditary breast and ovarian cancer susceptibility sequencing panels. Genetics in Medicine. 21(7). 1497–1506. 41 indexed citations

Guidugli, Lucia, Hermela Shimelis, David L. Masica, et al.. (2018). Assessment of the Clinical Relevance of BRCA2 Missense Variants by Functional and Computational Approaches. The American Journal of Human Genetics. 102(2). 233–248. 54 indexed citations

Hart, Steven N., Tanya L. Hoskin, Hermela Shimelis, et al.. (2018). Comprehensive annotation of BRCA1 and BRCA2 missense variants by functionally validated sequence-based computational prediction models. Genetics in Medicine. 21(1). 71–80. 43 indexed citations

10.

Hu, Chunling, Steven N. Hart, Eric C. Polley, et al.. (2018). Association Between Inherited Germline Mutations in Cancer Predisposition Genes and Risk of Pancreatic Cancer. JAMA. 319(23). 2401–2401. 345 indexed citations breakdown →

11.

Lilyquist, Jenna, Holly LaDuca, Eric C. Polley, et al.. (2017). Frequency of mutations in a large series of clinically ascertained ovarian cancer cases tested on multi-gene panels compared to reference controls. Gynecologic Oncology. 147(2). 375–380. 94 indexed citations

12.

Couch, Fergus J., Hermela Shimelis, Chunling Hu, et al.. (2017). Associations Between Cancer Predisposition Testing Panel Genes and Breast Cancer. JAMA Oncology. 3(9). 1190–1190. 393 indexed citations breakdown →

13.

Antwi, Samuel O., Kari G. Chaffee, William R. Bamlet, et al.. (2017). Risk of Different Cancers Among First-degree Relatives of Pancreatic Cancer Patients: Influence of Probands’ Susceptibility Gene Mutation Status. JNCI Journal of the National Cancer Institute. 111(3). 264–271. 10 indexed citations

14.

Offit, Kenneth, Kasmintan A. Schrader, Kara N. Maxwell, et al.. (2016). Cancer susceptibility mutations in individuals with breast and ovarian cancer using next-generation sequencing.. Journal of Clinical Oncology. 34(15_suppl). 1515–1515. 1 indexed citations

15.

Kiiski, Johanna I., Liisa M. Pelttari, Sofia Khan, et al.. (2014). Exome sequencing identifies FANCM as a susceptibility gene for triple-negative breast cancer. Proceedings of the National Academy of Sciences. 111(42). 15172–15177. 122 indexed citations

16.

Linn, Douglas E., Xi Yang, Yingqiu Xie, et al.. (2013). Abstract 4089: Differential regulation of androgen receptor by PIM-1 kinases via phosphorylation-dependent recruitment of distinct ubiquitin E3 ligases.. Cancer Research. 73(8_Supplement). 4089–4089. 4 indexed citations

17.

Linn, Douglas E., Xi Yang, Yingqiu Xie, et al.. (2012). Differential Regulation of Androgen Receptor by PIM-1 Kinases via Phosphorylation-dependent Recruitment of Distinct Ubiquitin E3 Ligases. Journal of Biological Chemistry. 287(27). 22959–22968. 51 indexed citations

18.

Shimelis, Hermela, et al.. (2011). Aneuploids of wheat and chromosomal localization of genes. AFRICAN JOURNAL OF BIOTECHNOLOGY. 10(29). 5545–5551. 3 indexed citations

19.

Yang, Xi, Zhiyong Guo, Feng Sun, et al.. (2011). Novel Membrane-associated Androgen Receptor Splice Variant Potentiates Proliferative and Survival Responses in Prostate Cancer Cells. Journal of Biological Chemistry. 286(41). 36152–36160. 91 indexed citations

20.

Xu, Kexin, Hermela Shimelis, Douglas E. Linn, et al.. (2009). Regulation of Androgen Receptor Transcriptional Activity and Specificity by RNF6-Induced Ubiquitination. Cancer Cell. 15(4). 270–282. 183 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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