Michael Saghbini

726 total citations
10 papers, 272 citations indexed

About

Michael Saghbini is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Michael Saghbini has authored 10 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Cell Biology and 2 papers in Materials Chemistry. Recurrent topics in Michael Saghbini's work include Genomics and Phylogenetic Studies (3 papers), RNA modifications and cancer (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Michael Saghbini is often cited by papers focused on Genomics and Phylogenetic Studies (3 papers), RNA modifications and cancer (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). Michael Saghbini collaborates with scholars based in United States and China. Michael Saghbini's co-authors include Immo E. Scheffler, Marko Radic, Barbara A. Hamkalo, Terry S. Elton, Raymond Reeves, David P. Atencio, Geoffrey P. Lin Cereghino, Han Cao, Liz Anne Bellew and Sven Bocklandt and has published in prestigious journals such as Blood, Biochemistry and Cancer Research.

In The Last Decade

Michael Saghbini

10 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Saghbini United States	7	214	48	43	39	12	10	272
Sinje Geuer Germany	5	169 0.8×	60 1.3×	33 0.8×	21 0.5×	13 1.1×	6	215
Stephanie L. Battle United States	11	200 0.9×	34 0.7×	113 2.6×	41 1.1×	7 0.6×	12	326
Sara Isaac Israel	11	320 1.5×	19 0.4×	56 1.3×	35 0.9×	4 0.3×	15	372
Nadine Übelmesser Germany	6	243 1.1×	16 0.3×	58 1.3×	28 0.7×	14 1.2×	6	284
Huub M.W. van der Velden Netherlands	10	326 1.5×	26 0.5×	36 0.8×	16 0.4×	6 0.5×	12	620
Wolfram H. Gruhn United Kingdom	8	342 1.6×	129 2.7×	22 0.5×	30 0.8×	4 0.3×	10	395
Cindy Yen Okitsu United States	7	310 1.4×	54 1.1×	25 0.6×	26 0.7×	25 2.1×	13	369
Lukasz Smorag Germany	7	188 0.9×	62 1.3×	35 0.8×	100 2.6×	2 0.2×	8	250
Daemyung Kim South Korea	11	370 1.7×	26 0.5×	19 0.4×	56 1.4×	3 0.3×	18	423
Morgan Diegel United States	3	324 1.5×	55 1.1×	40 0.9×	45 1.2×	2 0.2×	3	355

Countries citing papers authored by Michael Saghbini

Since Specialization

Citations

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

Fields of papers citing papers by Michael Saghbini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Saghbini

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

All Works

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10 of 10 papers shown

Chan, Saki, Ernest T. Lam, Michael Saghbini, et al.. (2018). Structural Variation Detection and Analysis Using Bionano Optical Mapping. Methods in molecular biology. 1833. 193–203. 54 indexed citations

Luo, Ming‐Cheng, Karin R. Deal, Tingting Zhu, et al.. (2016). Optical Nano-mapping and Analysis of Plant Genomes. Methods in molecular biology. 1429. 103–117. 4 indexed citations

Cao, Han, Alex Hastie, Andy Wing Chun Pang, et al.. (2015). Abstract 4746: Mapping the “dark matter” of cancer genome - Long repeats, complex structural variations with nanochannel technology. Cancer Research. 75(15_Supplement). 4746–4746. 1 indexed citations

Hastie, Alex, Ernest T. Lam, Dai Heng, et al.. (2014). Feasibility of Population Scale Comprehensive Identification and Analysis of Complex Structural Variations in Cancer Genome Using Nanochannel Array. Blood. 124(21). 476–476. 1 indexed citations

Saghbini, Michael, et al.. (2003). Media Formulations for Various Two-Hybrid Systems. Humana Press eBooks. 177. 15–39. 8 indexed citations

Cereghino, Geoffrey P. Lin, et al.. (1995). Glucose-dependent turnover of the mRNAs encoding succinate dehydrogenase peptides in Saccharomyces cerevisiae: sequence elements in the 5' untranslated region of the Ip mRNA play a dominant role.. Molecular Biology of the Cell. 6(9). 1125–1143. 59 indexed citations

Bellew, Liz Anne, et al.. (1995). Structural organization of the gene encoding the human iron-sulfur subunit of succinate dehydrogenase. Gene. 159(2). 249–253. 41 indexed citations

Saghbini, Michael, et al.. (1994). Studies on the assembly of complex II in yeast mitochondria using chimeric human/yeast genes for the iron-sulfur protein subunit. Biochemistry. 33(1). 159–165. 13 indexed citations

Radic, Marko, Michael Saghbini, Terry S. Elton, Raymond Reeves, & Barbara A. Hamkalo. (1992). Hoechst 33258, distamycin A, and high mobility group protein I (HMG-I) compete for binding to mouse satellite DNA. Chromosoma. 101(10). 602–608. 75 indexed citations

10.

Saghbini, Michael, et al.. (1992). The C-terminus of the succinate dehydrogenase IP peptide of Saccharomyces cerevisiae is significant for assembly of complex II. Biochemistry. 31(36). 8442–8448. 16 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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