Tika R. Malla

1.2k total citations
16 papers, 407 citations indexed

About

Tika R. Malla is a scholar working on Computational Theory and Mathematics, Molecular Biology and Epidemiology. According to data from OpenAlex, Tika R. Malla has authored 16 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computational Theory and Mathematics, 7 papers in Molecular Biology and 6 papers in Epidemiology. Recurrent topics in Tika R. Malla's work include Computational Drug Discovery Methods (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Tika R. Malla is often cited by papers focused on Computational Drug Discovery Methods (9 papers), Pneumocystis jirovecii pneumonia detection and treatment (6 papers) and SARS-CoV-2 and COVID-19 Research (4 papers). Tika R. Malla collaborates with scholars based in United Kingdom, United States and Canada. Tika R. Malla's co-authors include Christopher J. Schofield, Anthony Tumber, Lennart Brewitz, E. Salah, Petra Lukacik, Claire Strain‐Damerell, Martin Walsh, Tobias John, David Owen and Nicole Zitzmann and has published in prestigious journals such as Angewandte Chemie International Edition, Chemical Communications and Nature Chemistry.

In The Last Decade

Tika R. Malla

15 papers receiving 405 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tika R. Malla United Kingdom 12 186 178 163 120 46 16 407
Mitul Srivastava India 12 224 1.2× 195 1.1× 154 0.9× 62 0.5× 51 1.1× 26 429
Eric M. Lewandowski United States 11 79 0.4× 148 0.8× 175 1.1× 107 0.9× 64 1.4× 18 417
Andrea Astolfi Italy 14 66 0.4× 229 1.3× 111 0.7× 102 0.8× 33 0.7× 25 394
Lovika Mittal India 12 214 1.2× 164 0.9× 136 0.8× 61 0.5× 41 0.9× 18 388
Mutaib M. Mashraqi Saudi Arabia 12 90 0.5× 184 1.0× 67 0.4× 80 0.7× 41 0.9× 36 364
Pornpan Pungpo Thailand 12 131 0.7× 190 1.1× 203 1.2× 119 1.0× 19 0.4× 44 387
Shalini Saxena India 17 128 0.7× 403 2.3× 298 1.8× 307 2.6× 38 0.8× 32 704
Saad Raza Pakistan 14 152 0.8× 317 1.8× 40 0.2× 102 0.8× 55 1.2× 33 546
Pritika Ramharack South Africa 13 123 0.7× 224 1.3× 149 0.9× 62 0.5× 27 0.6× 39 537
Palmi Modi India 9 241 1.3× 207 1.2× 180 1.1× 395 3.3× 45 1.0× 13 737

Countries citing papers authored by Tika R. Malla

Since Specialization
Citations

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

Fields of papers citing papers by Tika R. Malla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tika R. Malla. 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 Tika R. Malla. The network helps show where Tika R. Malla may publish in the future.

Co-authorship network of co-authors of Tika R. Malla

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

All Works

16 of 16 papers shown
1.
Miura, Takashi, Tika R. Malla, Lennart Brewitz, et al.. (2024). Cyclic β2,3-amino acids improve the serum stability of macrocyclic peptide inhibitors targeting the SARS-CoV-2 main protease. Bulletin of the Chemical Society of Japan. 97(5). uoae018–uoae018. 12 indexed citations
2.
Miura, Takashi, Tika R. Malla, David Owen, et al.. (2023). In vitro selection of macrocyclic peptide inhibitors containing cyclic γ2,4-amino acids targeting the SARS-CoV-2 main protease. Nature Chemistry. 15(7). 998–1005. 36 indexed citations
3.
Chenthamarakshan, Vijil, Samuel C. Hoffman, David Owen, et al.. (2023). Accelerating drug target inhibitor discovery with a deep generative foundation model. Science Advances. 9(25). eadg7865–eadg7865. 22 indexed citations
4.
Brewitz, Lennart, David Owen, Stephen M. Laidlaw, et al.. (2023). Alkyne Derivatives of SARS-CoV-2 Main Protease Inhibitors Including Nirmatrelvir Inhibit by Reacting Covalently with the Nucleophilic Cysteine. Journal of Medicinal Chemistry. 66(4). 2663–2680. 38 indexed citations
5.
Brewitz, Lennart, Jos J. A. G. Kamps, Petra Lukacik, et al.. (2022). Mass Spectrometric Assays Reveal Discrepancies in Inhibition Profiles for the SARS‐CoV‐2 Papain‐Like Protease. ChemMedChem. 17(9). e202200016–e202200016. 20 indexed citations
6.
Malla, Tika R., Karina Calvopiña, Catherine L. Tooke, et al.. (2022). Studies on the Reactions of Biapenem with VIM Metallo β-Lactamases and the Serine β-Lactamase KPC-2. Antibiotics. 11(3). 396–396. 7 indexed citations
7.
Malla, Tika R., Lennart Brewitz, David Owen, et al.. (2022). Penicillin Derivatives Inhibit the SARS-CoV-2 Main Protease by Reaction with Its Nucleophilic Cysteine. Journal of Medicinal Chemistry. 65(11). 7682–7696. 32 indexed citations
8.
Malla, Tika R., Anthony Tumber, Tobias John, et al.. (2021). Mass spectrometry reveals potential of β-lactams as SARS-CoV-2 Mpro inhibitors. Chemical Communications. 57(12). 1430–1433. 32 indexed citations
9.
Malla, Tika R., Anthony Tumber, Lennart Brewitz, et al.. (2021). Structure‐Activity Studies Reveal Scope for Optimisation of Ebselen‐Type Inhibition of SARS‐CoV‐2 Main Protease. ChemMedChem. 17(4). e202100582–e202100582. 23 indexed citations
10.
Hinchliffe, Philip, Tika R. Malla, Catherine L. Tooke, et al.. (2021). Faropenem reacts with serine and metallo-β-lactamases to give multiple products. European Journal of Medicinal Chemistry. 215. 113257–113257. 15 indexed citations
11.
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
12.
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
13.
Lohans, Christopher T., Pauline A. Lang, Tika R. Malla, et al.. (2019). Targeting the Mycobacterium tuberculosis transpeptidase LdtMt2 with cysteine-reactive inhibitors including ebselen. Chemical Communications. 55(69). 10214–10217. 31 indexed citations
14.
Lohans, Christopher T., Tika R. Malla, Kiran Kumar, et al.. (2018). Non‐Hydrolytic β‐Lactam Antibiotic Fragmentation by l,d‐Transpeptidases and Serine β‐Lactamase Cysteine Variants. Angewandte Chemie International Edition. 58(7). 1990–1994. 24 indexed citations
15.
Lohans, Christopher T., Tika R. Malla, Kiran Kumar, et al.. (2018). Non‐Hydrolytic β‐Lactam Antibiotic Fragmentation by l,d‐Transpeptidases and Serine β‐Lactamase Cysteine Variants. Angewandte Chemie. 131(7). 2012–2016. 4 indexed citations
16.
Malla, Tika R., et al.. (2017). Spatial Intelligence as Related to Success on Regular and Constrained Electronic Puzzle Formats.

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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