Vikash Pandey

556 total citations
18 papers, 193 citations indexed

About

Vikash Pandey is a scholar working on Molecular Biology, Epidemiology and Pathology and Forensic Medicine. According to data from OpenAlex, Vikash Pandey has authored 18 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Epidemiology and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Vikash Pandey's work include Microbial Metabolic Engineering and Bioproduction (7 papers), Bioinformatics and Genomic Networks (4 papers) and Liver Disease Diagnosis and Treatment (2 papers). Vikash Pandey is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (7 papers), Bioinformatics and Genomic Networks (4 papers) and Liver Disease Diagnosis and Treatment (2 papers). Vikash Pandey collaborates with scholars based in Sweden, Switzerland and India. Vikash Pandey's co-authors include Vassily Hatzimanikatis, Noushin Hadadi, Anush Chiappino-Pepe, Héctor Gallart‐Ayala, Christoph Wierling, Hans Lehrach, Julijana Ivanišević, Marian Morales, Vladimir Sentchilo and Florence Mehl and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Vikash Pandey

14 papers receiving 190 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikash Pandey Sweden 8 144 41 20 15 15 18 193
Lisong Shen China 7 68 0.5× 21 0.5× 12 0.6× 9 0.6× 30 2.0× 9 194
Lanping Jiang China 6 180 1.3× 17 0.4× 9 0.5× 20 1.3× 14 0.9× 8 271
Agnes Bourgois‐Mochel United States 9 70 0.5× 14 0.3× 44 2.2× 26 1.7× 8 0.5× 23 182
Benjamin C. Blum United States 8 101 0.7× 18 0.4× 14 0.7× 5 0.3× 15 1.0× 17 216
Dan Holder United States 5 112 0.8× 18 0.4× 6 0.3× 19 1.3× 5 0.3× 7 192
Chong Ma China 9 147 1.0× 12 0.3× 7 0.3× 35 2.3× 36 2.4× 30 261
Kara M. McNamara United States 6 126 0.9× 11 0.3× 6 0.3× 11 0.7× 10 0.7× 16 173
Peishun Li China 9 261 1.8× 18 0.4× 57 2.9× 25 1.7× 6 0.4× 16 337
Ibrahim E. Elsemman Egypt 6 314 2.2× 10 0.2× 80 4.0× 19 1.3× 10 0.7× 13 355
Marvic Carrillo-Terrazas United States 5 155 1.1× 13 0.3× 37 1.9× 11 0.7× 5 0.3× 5 211

Countries citing papers authored by Vikash Pandey

Since Specialization
Citations

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

Fields of papers citing papers by Vikash Pandey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikash Pandey

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

All Works

18 of 18 papers shown
1.
Balakrishnan, Arjun, Mirjam Hunziker, Puja Tiwary, et al.. (2025). A CRISPR homing screen finds a chloroquine resistance transporter-like protein of the Plasmodium oocyst essential for mosquito transmission of malaria. Nature Communications. 16(1). 3895–3895.
2.
Kemp, Alison, Scott A. Chisholm, Vikash Pandey, et al.. (2025). Characterisation of Two Plasmodium Virulence Factors Important for Lipid Metabolism and Disease Progression In Vivo. bioRxiv (Cold Spring Harbor Laboratory).
3.
Tronnet, Sophie, et al.. (2025). Extracellular ATP is an environmental cue in bacteria. Cell Reports. 44(10). 116356–116356.
4.
Pandey, Vikash. (2025). MiNEApy: enhancing enrichment network analysis in metabolic networks. Bioinformatics. 41(3). 1 indexed citations
5.
Pandey, Vikash, Arjun Balakrishnan, Katharine A. Michie, et al.. (2024). Systematic screens for fertility genes essential for malaria parasite transmission reveal conserved aspects of sex in a divergent eukaryote. Cell Systems. 15(11). 1075–1091.e6. 9 indexed citations
7.
Chiappino-Pepe, Anush, Vikash Pandey, & Oliver Billker. (2021). Genome reconstructions of metabolism of Plasmodium RBC and liver stages. Current Opinion in Microbiology. 63. 259–266. 1 indexed citations
8.
Kumar, Om Prakash, et al.. (2021). Chronic kidney disease in children. 7(1). 6–11. 1 indexed citations
9.
Younis, Jihad, et al.. (2021). Some Summation Formulas for the Generalized Kampé de Fériet Function. Mathematical Problems in Engineering. 2021. 1–11. 2 indexed citations
10.
Hadadi, Noushin, Vikash Pandey, Anush Chiappino-Pepe, et al.. (2020). Mechanistic insights into bacterial metabolic reprogramming from omics-integrated genome-scale models. npj Systems Biology and Applications. 6(1). 1–1. 38 indexed citations
11.
Hadadi, Noushin, Vikash Pandey, Anush Chiappino-Pepe, et al.. (2020). Author Correction: Mechanistic insights into bacterial metabolic reprogramming from omics-integrated genome-scale models. npj Systems Biology and Applications. 6(1). 4–4. 5 indexed citations
13.
Pandey, Vikash, Noushin Hadadi, & Vassily Hatzimanikatis. (2019). Enhanced flux prediction by integrating relative expression and relative metabolite abundance into thermodynamically consistent metabolic models. PLoS Computational Biology. 15(5). e1007036–e1007036. 59 indexed citations
14.
Pandey, Vikash & Vassily Hatzimanikatis. (2019). Investigating the deregulation of metabolic tasks via Minimum Network Enrichment Analysis (MiNEA) as applied to nonalcoholic fatty liver disease using mouse and human omics data. PLoS Computational Biology. 15(4). e1006760–e1006760. 7 indexed citations
15.
Chiappino-Pepe, Anush, Vikash Pandey, Meriç Ataman, & Vassily Hatzimanikatis. (2017). Integration of metabolic, regulatory and signaling networks towards analysis of perturbation and dynamic responses. Current Opinion in Systems Biology. 2. 59–66. 10 indexed citations
16.
Wruck, Wasco, Karl Kashofer, Ana Andriani, et al.. (2015). Multi-omic profiles of human non-alcoholic fatty liver disease tissue highlight heterogenic phenotypes. Scientific Data. 2(1). 150068–150068. 39 indexed citations
17.
Pandey, Vikash, Marc Sultan, Karl Kashofer, et al.. (2014). Comparative Analysis and Modeling of the Severity of Steatohepatitis in DDC-Treated Mouse Strains. PLoS ONE. 9(10). e111006–e111006. 10 indexed citations
18.
Li, Jian, Vikash Pandey, T. Keßler, Hans Lehrach, & Christoph Wierling. (2012). Modeling of miRNA and Drug Action in the EGFR Signaling Pathway. PLoS ONE. 7(1). e30140–e30140. 10 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026