Margaret Gustafson

667 total citations
10 papers, 552 citations indexed

About

Margaret Gustafson is a scholar working on Hepatology, Molecular Biology and Surgery. According to data from OpenAlex, Margaret Gustafson has authored 10 papers receiving a total of 552 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hepatology, 3 papers in Molecular Biology and 2 papers in Surgery. Recurrent topics in Margaret Gustafson's work include Liver physiology and pathology (6 papers), Pancreatic function and diabetes (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Margaret Gustafson is often cited by papers focused on Liver physiology and pathology (6 papers), Pancreatic function and diabetes (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Margaret Gustafson collaborates with scholars based in United States, Taiwan and Israel. Margaret Gustafson's co-authors include George F. Vande Woude, Chong Gao, Nariyoshi Shinomiya, Qian Xie, Rick V. Hay, Yanli Su, Yuwen Zhang, Beatrice S. Knudsen, Andrew J. Putnam and Sok Kean Khoo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.

In The Last Decade

Margaret Gustafson

10 papers receiving 546 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Margaret Gustafson United States	9	317	145	145	95	60	10	552
Barbara Costa Germany	13	228 0.7×	134 0.9×	70 0.5×	60 0.6×	30 0.5×	15	530
Jörg Hülsken Germany	8	916 2.9×	153 1.1×	75 0.5×	59 0.6×	65 1.1×	8	1.1k
Foad J. Rouhani United Kingdom	10	746 2.4×	72 0.5×	106 0.7×	87 0.9×	13 0.2×	14	994
Tomoko Uehara Japan	14	358 1.1×	52 0.4×	30 0.2×	34 0.4×	37 0.6×	79	733
Aaron D. DeWard United States	12	351 1.1×	121 0.8×	48 0.3×	38 0.4×	12 0.2×	14	697
Melanie B. Laederich United States	12	521 1.6×	178 1.2×	15 0.1×	55 0.6×	19 0.3×	14	695
Yusuke Suenaga Japan	17	548 1.7×	170 1.2×	17 0.1×	231 2.4×	19 0.3×	42	771
Tetsuji Tokunaga Japan	15	461 1.5×	250 1.7×	11 0.1×	154 1.6×	32 0.5×	31	641
Nicolas Gengenbacher Germany	8	306 1.0×	194 1.3×	12 0.1×	153 1.6×	27 0.5×	10	629
Stacie Anderson United States	9	380 1.2×	120 0.8×	11 0.1×	102 1.1×	29 0.5×	10	672

Countries citing papers authored by Margaret Gustafson

Since Specialization

Citations

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

Fields of papers citing papers by Margaret Gustafson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Gustafson

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

Xie, Qian, Chong Gao, Nariyoshi Shinomiya, et al.. (2005). Geldanamycins exquisitely inhibit HGF/SF-mediated tumor cell invasion. Oncogene. 24(23). 3697–3707. 41 indexed citations

Gao, Chong, Qian Xie, Yanli Su, et al.. (2005). Proliferation and invasion: Plasticity in tumor cells. Proceedings of the National Academy of Sciences. 102(30). 10528–10533. 149 indexed citations

Hay, Rick V., Brian Cao, Yanli Su, et al.. (2005). Nuclear Imaging of Met-Expressing Human and Canine Cancer Xenografts with Radiolabeled Monoclonal Antibodies (MetSeekTM). Clinical Cancer Research. 11(19). 7064s–7069s. 21 indexed citations

Putnam, Andrew J., et al.. (2004). Overexpression of sprouty 2 inhibits HGF/SF-mediated cell growth, invasion, migration, and cytokinesis. Oncogene. 23(30). 5193–5202. 107 indexed citations

Zhang, Yuwen, Yanli Su, Nathan Lanning, et al.. (2004). Enhanced growth of human met-expressing xenografts in a new strain of immunocompromised mice transgenic for human hepatocyte growth factor/scatter factor. Oncogene. 24(1). 101–106. 63 indexed citations

Shinomiya, Nariyoshi, Chong Gao, Qian Xie, et al.. (2004). RNA Interference Reveals that Ligand-Independent Met Activity Is Required for Tumor Cell Signaling and Survival. Cancer Research. 64(21). 7962–7970. 83 indexed citations

Hay, Rick V., Brian Cao, Yanli Su, et al.. (2003). Radioimmunoscintigraphy of human met-expressing tumor xenografts using met3, a new monoclonal antibody.. PubMed. 9(10 Pt 2). 3839S–44S. 11 indexed citations

Gustafson, Margaret, et al.. (2000). Induction of Calcitonin and Calcitonin Receptor Expression in Rat Mammary Tissue during Pregnancy¹. Endocrinology. 141(10). 3696–3702. 26 indexed citations

Wilson, David F., et al.. (1993). Auditory Brainstem Response Testing. The Laryngoscope. 103(5). 580–581. 1 indexed citations

10.

Wilson, David F., et al.. (1992). The sensitivity of auditory brainstem response testing in small acoustic neuromas. The Laryngoscope. 102(9). 961–964. 50 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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