Tobias John

844 total citations
9 papers, 206 citations indexed

About

Tobias John is a scholar working on Molecular Biology, Epidemiology and Computational Theory and Mathematics. According to data from OpenAlex, Tobias John has authored 9 papers receiving a total of 206 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Computational Theory and Mathematics. Recurrent topics in Tobias John's work include Computational Drug Discovery Methods (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Tobias John is often cited by papers focused on Computational Drug Discovery Methods (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Tobias John collaborates with scholars based in United Kingdom, United States and Lebanon. Tobias John's co-authors include Christopher J. Schofield, Victor A. Mikhailov, Tika R. Malla, Tarick J. El‐Baba, A.L. Kantsadi, Corinne A. Lutomski, Ioannis Vakonakis, Carol V. Robinson, Jani Reddy Bolla and Nicole Zitzmann and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and Scientific Reports.

In The Last Decade

Tobias John

9 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tobias John United Kingdom	7	92	91	89	31	18	9	206
Bartłomiej Pawlik Poland	6	107 1.2×	125 1.4×	122 1.4×	46 1.5×	12 0.7×	14	342
Rupesh Agarwal United States	9	44 0.5×	29 0.3×	99 1.1×	33 1.1×	9 0.5×	24	225
Victoria C. Yan United States	8	29 0.3×	133 1.5×	90 1.0×	15 0.5×	30 1.7×	18	272
Christophe Buyck Belgium	8	81 0.9×	136 1.5×	157 1.8×	32 1.0×	78 4.3×	15	356
Nida Jamil Khan India	10	17 0.2×	86 0.9×	99 1.1×	11 0.4×	18 1.0×	25	269
Pradeep Sharma India	10	52 0.6×	55 0.6×	100 1.1×	15 0.5×	8 0.4×	21	194
Zheng Yao Low Malaysia	8	56 0.6×	159 1.7×	80 0.9×	16 0.5×	32 1.8×	12	289
Olanrewaju Ayodeji Durojaye Nigeria	10	108 1.2×	42 0.5×	180 2.0×	57 1.8×	13 0.7×	33	304
S. Rempel Netherlands	7	37 0.4×	70 0.8×	186 2.1×	19 0.6×	27 1.5×	8	325
Weizhu Yan China	5	49 0.5×	145 1.6×	125 1.4×	20 0.6×	18 1.0×	10	246

Countries citing papers authored by Tobias John

Since Specialization

Citations

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

Fields of papers citing papers by Tobias John

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tobias John

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

All Works

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9 of 9 papers shown

1.

John, Tobias, Nadia Saffoon, John Walsby-Tickle, et al.. (2024). Aldehyde-mediated inhibition of asparagine biosynthesis has implications for diabetes and alcoholism. Chemical Science. 15(7). 2509–2517. 4 indexed citations

2.

John, Tobias, Elisabete Pires, Svenja Hester, et al.. (2023). Formaldehyde reacts with N-terminal proline residues to give bicyclic aminals. Communications Chemistry. 6(1). 12–12. 6 indexed citations

3.

Liu, Shuang, Martine I. Abboud, Tobias John, et al.. (2021). Roles of metal ions in the selective inhibition of oncogenic variants of isocitrate dehydrogenase 1. Communications Biology. 4(1). 1243–1243. 22 indexed citations

4.

Malla, Tika R., Anthony Tumber, Tobias John, et al.. (2021). Mass spectrometry reveals potential of β-lactams as SARS-CoV-2 M^pro inhibitors. Chemical Communications. 57(12). 1430–1433. 32 indexed citations

5.

El‐Baba, Tarick J., Corinne A. Lutomski, A.L. Kantsadi, et al.. (2020). Allosteric Inhibition of the SARS‐CoV‐2 Main Protease: Insights from Mass Spectrometry Based Assays**. Angewandte Chemie. 132(52). 23750–23754. 9 indexed citations

6.

John, Tobias, et al.. (2020). Metampicillin is a cyclic aminal produced by reaction of ampicillin with formaldehyde. Scientific Reports. 10(1). 17955–17955. 4 indexed citations

7.

El‐Baba, Tarick J., Corinne A. Lutomski, A.L. Kantsadi, et al.. (2020). Allosteric Inhibition of the SARS‐CoV‐2 Main Protease: Insights from Mass Spectrometry Based Assays**. Angewandte Chemie International Edition. 59(52). 23544–23548. 102 indexed citations

8.

John, Tobias, et al.. (2019). Formaldehyde quantification using ampicillin is not selective. Scientific Reports. 9(1). 18289–18289. 6 indexed citations

9.

John, Tobias, et al.. (1977). Coxsackievirus A24 variant EH 24/70 and enterovirus type 70 in an epidemic of acute haemorrhagic conjunctivitis--a preliminary report.. PubMed. 65(5). 593–5. 21 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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