Heide Fier

889 total citations
17 papers, 415 citations indexed

About

Heide Fier is a scholar working on Genetics, Molecular Biology and Management of Technology and Innovation. According to data from OpenAlex, Heide Fier has authored 17 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 6 papers in Molecular Biology and 5 papers in Management of Technology and Innovation. Recurrent topics in Heide Fier's work include Genetic Associations and Epidemiology (8 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Entrepreneurship Studies and Influences (4 papers). Heide Fier is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Entrepreneurship Studies and Influences (4 papers). Heide Fier collaborates with scholars based in Germany, United States and Switzerland. Heide Fier's co-authors include Christoph Grimpe, Jakob Edler, Christoph Lange, Dmitry Prokopenko, Edwin K. Silverman, Julian Hecker, Markus M. Nöthen, Michele Pagano, Christian Dina and Kerstin U. Ludwig and has published in prestigious journals such as Bioinformatics, Research Policy and American Journal of Respiratory Cell and Molecular Biology.

In The Last Decade

Heide Fier

17 papers receiving 382 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Heide Fier Germany 8 129 124 113 74 62 17 415
Yong Suk Lee United States 15 44 0.3× 126 1.0× 158 1.4× 48 0.6× 15 0.2× 44 563
John H. Barton United States 14 48 0.4× 178 1.4× 236 2.1× 36 0.5× 72 1.2× 40 596
Aaro Tupasela Finland 13 38 0.3× 52 0.4× 63 0.6× 105 1.4× 51 0.8× 41 519
Rochelle Cooper Dreyfuss United States 12 73 0.6× 163 1.3× 133 1.2× 39 0.5× 46 0.7× 81 429
Andreï Mogoutov France 9 48 0.4× 43 0.3× 64 0.6× 29 0.4× 6 0.1× 15 374
James Cunningham United States 12 81 0.6× 68 0.5× 81 0.7× 5 0.1× 13 0.2× 42 485
Swapan Kumar Patra India 12 103 0.8× 66 0.5× 93 0.8× 3 0.0× 28 0.5× 30 494
Tom Cannon United Kingdom 12 158 1.2× 121 1.0× 84 0.7× 23 0.3× 10 0.2× 37 547
Sophie Veilleux Canada 8 151 1.2× 90 0.7× 95 0.8× 56 0.8× 15 0.2× 30 373
James Mittra United Kingdom 11 69 0.5× 60 0.5× 79 0.7× 11 0.1× 10 0.2× 32 336

Countries citing papers authored by Heide Fier

Since Specialization
Citations

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

Fields of papers citing papers by Heide Fier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heide Fier

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

All Works

17 of 17 papers shown
1.
Prokopenko, Dmitry, Phuwanat Sakornsakolpat, Heide Fier, et al.. (2018). Whole-Genome Sequencing in Severe Chronic Obstructive Pulmonary Disease. American Journal of Respiratory Cell and Molecular Biology. 59(5). 614–622. 16 indexed citations
2.
Hecker, Julian, Xin Xu, F. William Townes, et al.. (2017). Family‐based tests for associating haplotypes with general phenotype data. Genetic Epidemiology. 42(1). 123–126. 3 indexed citations
3.
Altmüller, Janine, Britta Haenisch, Amit Kawalia, et al.. (2017). Mutational profiling in the peripheral blood leukocytes of patients with systemic mast cell activation syndrome using next-generation sequencing. Immunogenetics. 69(6). 359–369. 10 indexed citations
4.
Hecker, Julian, Anna Maaser, Dmitry Prokopenko, Heide Fier, & Christoph Lange. (2017). Reporting Correct p Values in VEGAS Analyses. Twin Research and Human Genetics. 20(3). 257–259. 5 indexed citations
5.
Hecker, Julian, Dmitry Prokopenko, Christoph Lange, & Heide Fier. (2017). PolyGEE: a generalized estimating equation approach to the efficient and robust estimation of polygenic effects in large-scale association studies. Biostatistics. 19(3). 295–306. 5 indexed citations
6.
Fier, Heide, Dmitry Prokopenko, Julian Hecker, et al.. (2017). On the association analysis of genome‐sequencing data: A spatial clustering approach for partitioning the entire genome into nonoverlapping windows. Genetic Epidemiology. 41(4). 332–340. 6 indexed citations
7.
Schlauch, Daniel, Heide Fier, & Christoph Lange. (2017). Identification of genetic outliers due to sub-structure and cryptic relationships. Bioinformatics. 33(13). 1972–1979. 7 indexed citations
8.
Prokopenko, Dmitry, Julian Hecker, Edwin K. Silverman, et al.. (2015). Utilizing the Jaccard index to reveal population stratification in sequencing data: a simulation study and an application to the 1000 Genomes Project. Bioinformatics. 32(9). 1366–1372. 38 indexed citations
9.
Ludwig, Kerstin U., Heide Fier, Bernd Pötzsch, et al.. (2014). Nonsyndromic cleft lip with or without cleft palate: Increased burden of rare variants withinGremlin‐1, a component of the bone morphogenetic protein 4 pathway. Birth Defects Research Part A Clinical and Molecular Teratology. 100(6). 493–498. 18 indexed citations
10.
Yip, Wai‐Ki, Heide Fier, Dawn L. DeMeo, et al.. (2014). A Novel Method for Detecting Association Between DNA Methylation and Diseases Using Spatial Information. Genetic Epidemiology. 38(8). 714–721. 2 indexed citations
11.
Qiao, Dandi, Michael H. Cho, Heide Fier, et al.. (2013). On the simultaneous association analysis of large genomic regions: a massive multi-locus association test. Bioinformatics. 30(2). 157–164. 5 indexed citations
12.
Fier, Heide, Sungho Won, Dmitry Prokopenko, et al.. (2012). ‘Location, Location, Location’: a spatial approach for rare variant analysis and an application to a study on non-syndromic cleft lip with or without cleft palate. Bioinformatics. 28(23). 3027–3033. 15 indexed citations
13.
Edler, Jakob, Heide Fier, & Christoph Grimpe. (2011). International scientist mobility and the locus of knowledge and technology transfer. Research Policy. 40(6). 791–805. 143 indexed citations
14.
Fier, Heide & Andreas Pyka. (2011). Against the one-way-street: analyzing knowledge transfer from industry to science. The Journal of Technology Transfer. 39(2). 219–246. 5 indexed citations
15.
Grimpe, Christoph, Jakob Edler, & Heide Fier. (2010). International Scientist Mobility and the Locus of Knowledge and Technology Transfer. Research Explorer (The University of Manchester). 1 indexed citations
16.
Grimpe, Christoph & Heide Fier. (2009). Informal university technology transfer: a comparison between the United States and Germany. The Journal of Technology Transfer. 35(6). 637–650. 125 indexed citations
17.
Grimpe, Christoph, Jakob Edler, & Heide Fier. (2008). International Scientist Mobility and the Locus of Technology Transfer. SSRN Electronic Journal. 11 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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