Bob Monks

978 total citations
10 papers, 825 citations indexed

About

Bob Monks is a scholar working on Molecular Biology, Genetics and Biochemistry. According to data from OpenAlex, Bob Monks has authored 10 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Biochemistry. Recurrent topics in Bob Monks's work include CRISPR and Genetic Engineering (2 papers), Lipid metabolism and biosynthesis (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Bob Monks is often cited by papers focused on CRISPR and Genetic Engineering (2 papers), Lipid metabolism and biosynthesis (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). Bob Monks collaborates with scholars based in United States and Japan. Bob Monks's co-authors include Stephen A. Liebhaber, Morris J. Birnbaum, Meng-Chao Yao, Beverly K. Jones, Nancy E. Cooke, Lisa M. DiPilato, Janet A. Sawicki, Sarah M. Choi, Danielle N. Gross and Rachael Easton and has published in prestigious journals such as Cell, Neuron and Molecular and Cellular Biology.

In The Last Decade

Bob Monks

10 papers receiving 807 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bob Monks United States	10	547	149	144	108	80	10	825
Eileen Falvey United States	11	548 1.0×	96 0.6×	169 1.2×	65 0.6×	55 0.7×	12	919
Douglas H. Sieglaff United States	19	454 0.8×	111 0.7×	150 1.0×	133 1.2×	198 2.5×	28	1000
Vincent Ossipow Switzerland	12	619 1.1×	120 0.8×	114 0.8×	35 0.3×	96 1.2×	14	993
Fujiko Tsukahara Japan	17	608 1.1×	169 1.1×	125 0.9×	41 0.4×	90 1.1×	49	1.0k
Prakash Nair United States	14	839 1.5×	161 1.1×	236 1.6×	40 0.4×	114 1.4×	17	1.3k
Amelia Chang United States	12	1.1k 1.9×	99 0.7×	156 1.1×	99 0.9×	65 0.8×	19	1.3k
Haijing Yu China	20	798 1.5×	86 0.6×	178 1.2×	61 0.6×	37 0.5×	37	1.3k
Hossein Fakhrai-Rad Sweden	12	764 1.4×	206 1.4×	419 2.9×	110 1.0×	87 1.1×	17	1.4k
Dana Chuderland Israel	21	763 1.4×	100 0.7×	177 1.2×	80 0.7×	82 1.0×	30	1.4k
Masahide Shiozawa Japan	13	354 0.6×	105 0.7×	236 1.6×	44 0.4×	38 0.5×	26	713

Countries citing papers authored by Bob Monks

Since Specialization

Citations

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

Fields of papers citing papers by Bob Monks

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bob Monks

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

Koren, Shlomit, Lisa M. DiPilato, Matthew J. Emmett, et al.. (2015). The role of mouse Akt2 in insulin-dependent suppression of adipocyte lipolysis in vivo. Diabetologia. 58(5). 1063–1070. 22 indexed citations

Choi, Sarah M., David Tucker, Danielle N. Gross, et al.. (2010). Insulin Regulates Adipocyte Lipolysis via an Akt-Independent Signaling Pathway. Molecular and Cellular Biology. 30(21). 5009–5020. 175 indexed citations

Kim, Albert H., Hiroko Yano, Han Cho, et al.. (2002). Akt1 Regulates a JNK Scaffold during Excitotoxic Apoptosis. Neuron. 35(4). 697–709. 175 indexed citations

Sawicki, Janet A., Rebecca J. Morris, Bob Monks, Katsunaga Sakai, & Jun‐ichi Miyazaki. (1998). A Composite CMV-IE Enhancer/β-Actin Promoter Is Ubiquitously Expressed in Mouse Cutaneous Epithelium. Experimental Cell Research. 244(1). 367–369. 68 indexed citations

Sawicki, Janet A., Bob Monks, & Rebecca J. Morris. (1998). Cell-Specific Ecdysone-Inducible Expression of FLP Recombinase in Mammalian Cells. BioTechniques. 25(5). 868–875. 18 indexed citations

Liebhaber, Stephen A., Zhibin Wang, F E Cash, Bob Monks, & Janice Russell. (1996). Developmental Silencing of the Embryonic ζ-Globin Gene: Concerted Action of the Promoter and the 3′-Flanking Region Combined with Stage-Specific Silencing by the Transcribed Segment. Molecular and Cellular Biology. 16(6). 2637–2646. 56 indexed citations

Steel, Laura F., et al.. (1996). Elements in the murine c-mos messenger RNA 5'-untranslated region repress translation of downstream coding sequences.. PubMed. 7(10). 1415–24. 25 indexed citations

Jones, Beverly K., Bob Monks, Stephen A. Liebhaber, & Nancy E. Cooke. (1995). The Human Growth Hormone Gene Is Regulated by a Multicomponent Locus Control Region. Molecular and Cellular Biology. 15(12). 7010–7021. 147 indexed citations

Luedtke, Robert R., Roman Artymyshyn, Bob Monks, & Perry B. Molinoff. (1992). Comparison of the expression, transcription and genomic organization of D2 dopamine receptors in outbred and inbred strains of rat. Brain Research. 584(1-2). 45–54. 29 indexed citations

10.

Yao, Meng-Chao, et al.. (1990). The controlling sequence for site-specific chromosome breakage in tetrahymena. Cell. 63(4). 763–772. 110 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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