Mitchell Green

1.5k total citations · 1 hit paper
6 papers, 1.2k citations indexed

About

Mitchell Green is a scholar working on Surgery, Molecular Biology and Pharmacology. According to data from OpenAlex, Mitchell Green has authored 6 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Surgery, 2 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Mitchell Green's work include Pharmacogenetics and Drug Metabolism (2 papers), Pancreatic function and diabetes (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Mitchell Green is often cited by papers focused on Pharmacogenetics and Drug Metabolism (2 papers), Pancreatic function and diabetes (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Mitchell Green collaborates with scholars based in United States, Australia and United Kingdom. Mitchell Green's co-authors include Thomas R. Tephly, Peter I. Mackenzie, Daniel W. Nebert, Jayanta Roy Chowdhury, Amos Bairoch, Ida S. Owens, Takashi Iyanagi, Harry Schachter, Pierre Louisot and K.W. Bock and has published in prestigious journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Archives of Biochemistry and Biophysics and Bioorganic & Medicinal Chemistry Letters.

In The Last Decade

Mitchell Green

6 papers receiving 1.1k 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.

The UDP glycosyltransferase gene superfamily: recommended nomenclature update based on evolutionary divergence

1997 985 citations Peter I. Mackenzie, Ida S. Owens et al. Pharmacogenetics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mitchell Green United States	6	625	461	247	232	123	6	1.2k
K.W. Bock Germany	10	661 1.1×	466 1.0×	285 1.2×	216 0.9×	129 1.0×	13	1.3k
Saki Yamano Japan	8	300 0.5×	519 1.1×	288 1.2×	111 0.5×	59 0.5×	23	844
Jouko Uusitalo Finland	18	350 0.6×	547 1.2×	243 1.0×	49 0.2×	134 1.1×	23	1.1k
Daniel Fau France	19	457 0.7×	519 1.1×	159 0.6×	51 0.2×	135 1.1×	31	1.3k
M. Lang Finland	19	443 0.7×	777 1.7×	324 1.3×	69 0.3×	52 0.4×	36	1.3k
Masahiro Iwaki Japan	18	271 0.4×	268 0.6×	304 1.2×	91 0.4×	39 0.3×	71	924
H.M. Wortelboer Netherlands	14	401 0.6×	343 0.7×	200 0.8×	54 0.2×	54 0.4×	17	871
Elisabetta Chieli Italy	19	290 0.5×	326 0.7×	347 1.4×	120 0.5×	118 1.0×	47	1.0k
Samaisukh Sophasan Thailand	16	386 0.6×	149 0.3×	308 1.2×	166 0.7×	187 1.5×	27	1.1k
Takahito Nishiyama Japan	20	582 0.9×	338 0.7×	225 0.9×	41 0.2×	64 0.5×	39	1.1k

Countries citing papers authored by Mitchell Green

Since Specialization

Citations

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

Fields of papers citing papers by Mitchell Green

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitchell Green

This figure shows the co-authorship network connecting the top 25 collaborators of Mitchell Green. A scholar is included among the top collaborators of Mitchell Green 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 Mitchell Green. Mitchell Green 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:

6 of 6 papers shown

1.

Graydon, Patrick, John Knight, & Mitchell Green. (2010). Certification and Safety Cases. 11 indexed citations

2.

Green, Mitchell, et al.. (2004). Glucuronidation of carboxylic acid containing compounds by UDP-glucuronosyltransferase isoforms. Archives of Biochemistry and Biophysics. 424(2). 219–225. 96 indexed citations

3.

Smith, Nicholas D., Steve F. Poon, Dehua Huang, et al.. (2004). Discovery of highly potent, selective, orally bioavailable, metabotropic glutamate subtype 5 (mGlu5) receptor antagonists devoid of cytochrome P450 1A2 inhibitory activity. Bioorganic & Medicinal Chemistry Letters. 14(22). 5481–5484. 12 indexed citations

4.

Earles, Cynthia A., et al.. (1998). [45] Resolution of biogenic amine transporter kinetics by rotating disk electrode voltammetry: Methodology and mechanistic interpretations. Methods in enzymology on CD-ROM/Methods in enzymology. 296. 660–675. 19 indexed citations

5.

Mackenzie, Peter I., Ida S. Owens, Brian Burchell, et al.. (1997). The UDP glycosyltransferase gene superfamily: recommended nomenclature update based on evolutionary divergence. Pharmacogenetics. 7(4). 255–269. 985 indexed citations breakdown →

6.

Tephly, Thomas R., et al.. (1988). Endogenous Substrates for Udp-Glucuronosyl-Transferases. Xenobiotica. 18(11). 1201–1210. 46 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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