Michael John

7.2k total citations · 1 hit paper
154 papers, 5.8k citations indexed

About

Michael John is a scholar working on Organic Chemistry, Inorganic Chemistry and Spectroscopy. According to data from OpenAlex, Michael John has authored 154 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Organic Chemistry, 34 papers in Inorganic Chemistry and 30 papers in Spectroscopy. Recurrent topics in Michael John's work include Coordination Chemistry and Organometallics (24 papers), Organometallic Complex Synthesis and Catalysis (21 papers) and Legume Nitrogen Fixing Symbiosis (20 papers). Michael John is often cited by papers focused on Coordination Chemistry and Organometallics (24 papers), Organometallic Complex Synthesis and Catalysis (21 papers) and Legume Nitrogen Fixing Symbiosis (20 papers). Michael John collaborates with scholars based in Germany, United States and Australia. Michael John's co-authors include Jürgen Schmidt, Dietmar Stalke, Jeff Schell, Guido H. Clever, Lutz Ackermann, Horst Röhrig, Gottfried Otting, Ursula Wieneke, Franc Meyer and Yu‐Sheng Chen and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Michael John

148 papers receiving 5.6k citations

Hit Papers

Light‐Triggered Guest Uptake and Release by a Photochromi... 2012 2026 2016 2021 2012 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael John Germany 43 2.7k 1.3k 1.2k 1.1k 1.1k 154 5.8k
Masahiko Maekawa Japan 56 2.0k 0.7× 3.4k 2.6× 5.4k 4.6× 2.8k 2.5× 1.9k 1.7× 354 11.8k
Dorothea Fiedler Germany 32 1.9k 0.7× 836 0.6× 604 0.5× 1.9k 1.7× 638 0.6× 89 4.6k
Geoffrey B. Jameson New Zealand 49 1.3k 0.5× 2.2k 1.7× 380 0.3× 2.5k 2.2× 2.7k 2.4× 240 7.4k
B. Zwanenburg Netherlands 46 4.6k 1.7× 596 0.5× 2.6k 2.2× 1.7k 1.5× 354 0.3× 406 8.4k
Peter Scott United Kingdom 46 3.4k 1.3× 2.3k 1.7× 377 0.3× 935 0.8× 986 0.9× 162 5.7k
J. Grant Collins Australia 41 2.5k 0.9× 426 0.3× 105 0.1× 2.0k 1.7× 631 0.6× 117 4.7k
A. Thompson United Kingdom 30 1.2k 0.5× 670 0.5× 165 0.1× 407 0.4× 1.2k 1.1× 96 3.2k
David S. Sigman United States 46 2.2k 0.8× 996 0.8× 202 0.2× 4.9k 4.3× 763 0.7× 118 7.9k
Angela Tuzi Italy 34 1.3k 0.5× 500 0.4× 340 0.3× 537 0.5× 918 0.8× 166 3.2k
Haimei Chen China 29 1.3k 0.5× 325 0.2× 1.0k 0.9× 3.1k 2.7× 325 0.3× 89 5.3k

Countries citing papers authored by Michael John

Since Specialization
Citations

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

Fields of papers citing papers by Michael John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael John

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

All Works

20 of 20 papers shown
1.
Mansoori, Yagoub, et al.. (2024). Copper(II)-polymer chelate grafted from magnetic mesoporous silica for the O-arylation of phenols via the Ullmann reaction. Journal of Organometallic Chemistry. 1014. 123191–123191. 5 indexed citations
2.
John, Michael, et al.. (2024). Multinuclear Residual Quadrupolar Couplings for Structure and Assignment. ChemPhysChem. 25(11). e202400068–e202400068.
3.
John, Michael, Armin Purea, J. Ganz, et al.. (2024). Overhauser enhanced liquid state nuclear magnetic resonance spectroscopy in one and two dimensions. Nature Communications. 15(1). 5904–5904. 14 indexed citations
5.
John, Michael, et al.. (2023). Changes in bioactive compounds and antioxidant activity of three Amaranthus L. genotypes from a model to household processing. Food Chemistry. 429. 136891–136891. 5 indexed citations
6.
Schwarz, Nicolas T., et al.. (2023). Allgemein- und Viszeralchirurgie essentials.
7.
Stalke, Dietmar, et al.. (2023). Structure Elucidation of Lithium Compounds Using 7Li Residual Quadrupolar Couplings. Chemistry - A European Journal. 29(23). e202203995–e202203995. 9 indexed citations
8.
Kalz, Kai F., Anja Hausmann, Sebastian Dechert, et al.. (2016). Solution Chemistry of N,N’‐Disubstituted Amidines: Identification of Isomers and Evidence for Linear Dimer Formation. Chemistry - A European Journal. 22(50). 18190–18196. 17 indexed citations
9.
Lange, Adam, et al.. (2012). Mixed crystalline lithium organics and interconversion in solution.. Organometallics. 31(1). 42–45. 18 indexed citations
10.
Freye, Sabrina, David M. Engelhard, Michael John, & Guido H. Clever. (2012). Counterion Dynamics in an Interpenetrated Coordination Cage Capable of Dissolving AgCl. Chemistry - A European Journal. 19(6). 2114–2121. 48 indexed citations
11.
Tietze, Lutz F., et al.. (2010). Atropisomerism of Aromatic Carbamates. Chemistry - A European Journal. 16(42). 12678–12682. 8 indexed citations
12.
Tischner, Denise, Michael John, Jan Tuckermann, et al.. (2009). Therapeutic and Adverse Effects of a Non-Steroidal Glucocorticoid Receptor Ligand in a Mouse Model of Multiple Sclerosis. PLoS ONE. 4(12). e8202–e8202. 61 indexed citations
13.
Furrer, Julien, Michael John, Horst Kessler, & Burkhard Luy. (2007). J-Spectroscopy in the presence of residual dipolar couplings: determination of one-bond coupling constants and scalable resolution. Journal of Biomolecular NMR. 37(3). 231–243. 42 indexed citations
14.
Röhrig, Horst, Michael John, & Jürgen Schmidt. (2004). Modification of soybean sucrose synthase by S-thiolation with ENOD40 peptide A. Biochemical and Biophysical Research Communications. 325(3). 864–870. 31 indexed citations
15.
Ralph, Edward D., et al.. (2003). Serum Sickness-like Reaction Possibly Associated with Meropenem Use. Clinical Infectious Diseases. 36(11). e149–e151. 7 indexed citations
16.
Röhrig, Horst, et al.. (2002). Soybean ENOD40 encodes two peptides that bind to sucrose synthase. Proceedings of the National Academy of Sciences. 99(4). 1915–1920. 183 indexed citations
17.
Gadella, Theodorus W. J., György Vereb, Horst Röhrig, et al.. (1997). Microspectroscopic imaging of nodulation factor-binding sites on living Vicia sativa roots using a novel bioactive fluorescent nodulation factor. Biophysical Journal. 72(5). 1986–1996. 23 indexed citations
18.
Prinsen, Els, Jürgen Schmidt, Michael John, et al.. (1991). Stimulation of indole‐3‐acetic acid production in Rhizobium by flavonoids. FEBS Letters. 282(1). 53–55. 45 indexed citations
19.
John, Michael, et al.. (1988). Transmembrane orientation and receptor-like structure of the Rhizobium meliloti common nodulation protein NodC. The EMBO Journal. 7(3). 583–588. 43 indexed citations
20.
Schmidt, Jürgen, Michael John, Éva Kondorosi, et al.. (1984). Mapping of the protein-coding regions of Rhizobium meliloti common nodulation genes. The EMBO Journal. 3(8). 1705–1711. 44 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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