Goar Frishman

4.7k total citations · 2 hit papers
22 papers, 2.9k citations indexed

About

Goar Frishman is a scholar working on Molecular Biology, Spectroscopy and Plant Science. According to data from OpenAlex, Goar Frishman has authored 22 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Spectroscopy and 3 papers in Plant Science. Recurrent topics in Goar Frishman's work include Bioinformatics and Genomic Networks (10 papers), Advanced Proteomics Techniques and Applications (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Goar Frishman is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Advanced Proteomics Techniques and Applications (4 papers) and Microbial Metabolic Engineering and Bioproduction (4 papers). Goar Frishman collaborates with scholars based in Germany, Russia and United States. Goar Frishman's co-authors include Andreas Ruepp, Corinna Montrone, Barbara Brauner, Gisela Fobo, Hans‐Werner Mewes, Martin Lechner, Dmitrij Frishman, Mădălina Giurgiu, Volker Stümpflen and Philipp Pagel and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Goar Frishman

22 papers receiving 2.8k 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.

CORUM: the comprehensive resource of mammalian protein complexes—2009

2009 997 citations Andreas Ruepp, Martin Lechner et al. Nucleic Acids Research profile →
CORUM: the comprehensive resource of mammalian protein complexes—2019

2018 392 citations Mădălina Giurgiu, Barbara Brauner et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Goar Frishman Germany	14	2.5k	478	357	312	234	22	2.9k
Corinna Montrone Germany	12	2.3k 0.9×	424 0.9×	355 1.0×	302 1.0×	222 0.9×	14	2.5k
Jennifer Rust United States	9	3.4k 1.4×	641 1.3×	314 0.9×	182 0.6×	323 1.4×	11	4.1k
Christie Chang United States	11	2.9k 1.2×	505 1.1×	279 0.8×	150 0.5×	295 1.3×	13	3.5k
C. Stark Canada	6	3.6k 1.5×	684 1.4×	197 0.6×	186 0.6×	340 1.5×	7	4.3k
Barbara Brauner Germany	9	2.0k 0.8×	372 0.8×	336 0.9×	264 0.8×	199 0.9×	11	2.2k
Gisela Fobo Germany	12	1.7k 0.7×	285 0.6×	319 0.9×	242 0.8×	170 0.7×	14	2.0k
Gabriel F. Berriz United States	12	2.3k 0.9×	295 0.6×	131 0.4×	158 0.5×	138 0.6×	15	2.8k
Michael Livstone United States	9	2.2k 0.9×	380 0.8×	168 0.5×	102 0.3×	175 0.7×	10	2.8k
Nicolas Bertin United States	14	2.6k 1.0×	357 0.7×	185 0.5×	95 0.3×	209 0.9×	23	3.1k
Livia Perfetto Italy	17	2.0k 0.8×	452 0.9×	146 0.4×	186 0.6×	153 0.7×	43	2.3k

Countries citing papers authored by Goar Frishman

Since Specialization

Citations

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

Fields of papers citing papers by Goar Frishman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Goar Frishman

This figure shows the co-authorship network connecting the top 25 collaborators of Goar Frishman. A scholar is included among the top collaborators of Goar Frishman 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 Goar Frishman. Goar Frishman 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

1.

Steinkamp, Ralph, Barbara Brauner, Corinna Montrone, et al.. (2024). CORUM in 2024: protein complexes as drug targets. Nucleic Acids Research. 53(D1). D651–D657. 1 indexed citations

2.

Steinkamp, Ralph, Mădălina Giurgiu, Barbara Brauner, et al.. (2022). CORUM: the comprehensive resource of mammalian protein complexes–2022. Nucleic Acids Research. 51(D1). D539–D545. 93 indexed citations

3.

Bergant, Valter, Goar Frishman, Andreas Ruepp, et al.. (2022). Influenza A Virus Infection Reactivates Human Endogenous Retroviruses Associated with Modulation of Antiviral Immunity. Viruses. 14(7). 1591–1591. 14 indexed citations

4.

Zaucha, Jan, et al.. (2021). Author Correction: Edgetic perturbation signatures represent known and novel cancer biomarkers. Scientific Reports. 11(1). 3582–3582. 1 indexed citations

5.

Nair, Vidya Padmanabhan, Gabriele Ciceri, Johannes Jungverdorben, et al.. (2021). Activation of HERV-K(HML-2) disrupts cortical patterning and neuronal differentiation by increasing NTRK3. Cell stem cell. 28(9). 1566–1581.e8. 34 indexed citations

6.

Nair, Vidya Padmanabhan, Gabriele Ciceri, Johannes Jungverdorben, et al.. (2021). Activation of HERV-K(HML-2) disrupts cortical patterning and neuronal differentiation by increasing NTRK3. Cell stem cell. 28(9). 1671–1673. 7 indexed citations

7.

Zaucha, Jan, et al.. (2020). Edgetic perturbation signatures represent known and novel cancer biomarkers. Scientific Reports. 10(1). 4350–4350. 6 indexed citations

8.

Brauner, Barbara, Irmtraud Dunger, Gisela Fobo, et al.. (2018). PhenoDis: a comprehensive database for phenotypic characterization of rare cardiac diseases. Orphanet Journal of Rare Diseases. 13(1). 22–22. 12 indexed citations

9.

Allebrandt, Karla V., Maris Teder‐Laving, Paola Cusumano, et al.. (2017). Identifying pathways modulating sleep duration: from genomics to transcriptomics. Scientific Reports. 7(1). 4555–4555. 8 indexed citations

10.

Kostareva, Anna, Artem Kiselev, A. Ya. Gudkova, et al.. (2016). Genetic Spectrum of Idiopathic Restrictive Cardiomyopathy Uncovered by Next-Generation Sequencing. PLoS ONE. 11(9). e0163362–e0163362. 66 indexed citations

11.

Mehta, Divya, D. Jeffrey Newport, Goar Frishman, et al.. (2014). Early predictive biomarkers for postpartum depression point to a role for estrogen receptor signaling. Psychological Medicine. 44(11). 2309–2322. 98 indexed citations

12.

Frishman, Goar, et al.. (2013). Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysis. Nucleic Acids Research. 42(D1). D396–D400. 125 indexed citations

13.

Lechner, Martin, Barbara Brauner, Irmtraud Dunger, et al.. (2012). CIDeR: multifactorial interaction networks in human diseases. Genome biology. 13(7). R62–R62. 20 indexed citations

14.

Ruepp, Andreas, Andreas Kowarsch, Barbara Brauner, et al.. (2010). PhenomiR: a knowledgebase for microRNA expression in diseases and biological processes. Genome biology. 11(1). R6–R6. 232 indexed citations

15.

Ruepp, Andreas, Martin Lechner, Barbara Brauner, et al.. (2009). CORUM: the comprehensive resource of mammalian protein complexes—2009. Nucleic Acids Research. 38(suppl_1). D497–D501. 997 indexed citations breakdown →

16.

Smialowski, Pawel, Philipp Pagel, Philip Wong, et al.. (2009). The Negatome database: a reference set of non-interacting protein pairs. Nucleic Acids Research. 38(suppl_1). D540–D544. 96 indexed citations

17.

Artamonova, Irena I., Goar Frishman, & Dmitrij Frishman. (2007). Applying negative rule mining to improve genome annotation. BMC Bioinformatics. 8(1). 261–261. 11 indexed citations

18.

Ruepp, Andreas, Bohuslav Brauner, Goar Frishman, et al.. (2007). CORUM: the comprehensive resource of mammalian protein complexes. Nucleic Acids Research. 36(Database). D646–D650. 255 indexed citations

19.

Tetko, Igor V., Bohuslav Brauner, Goar Frishman, et al.. (2005). MIPS bacterial genomes functional annotation benchmark dataset. Computer applications in the biosciences. 21(10). 2520–2521. 11 indexed citations

20.

Pagel, Philipp, Štefan Kováč, Matthias Oesterheld, et al.. (2004). The MIPS mammalian protein–protein interaction database. Bioinformatics. 21(6). 832–834. 382 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.

Explore authors with similar magnitude of impact