Poonam Phalak

442 total citations
15 papers, 309 citations indexed

About

Poonam Phalak is a scholar working on Molecular Biology, Infectious Diseases and Ecology. According to data from OpenAlex, Poonam Phalak has authored 15 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Infectious Diseases and 3 papers in Ecology. Recurrent topics in Poonam Phalak's work include Gut microbiota and health (8 papers), Clostridium difficile and Clostridium perfringens research (6 papers) and Microbial Community Ecology and Physiology (3 papers). Poonam Phalak is often cited by papers focused on Gut microbiota and health (8 papers), Clostridium difficile and Clostridium perfringens research (6 papers) and Microbial Community Ecology and Physiology (3 papers). Poonam Phalak collaborates with scholars based in United States, India and Norway. Poonam Phalak's co-authors include Michael A. Henson, Ross P. Carlson, Jin Chen, Kai Höffner, Jin Chen, Paul I. Barton, Giulia Orazi, George A. O’Toole, Tomáš Gedeon and Matthew W. Fields and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biotechnology and Bioengineering and PLoS Computational Biology.

In The Last Decade

Poonam Phalak

14 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Poonam Phalak United States 9 257 66 58 39 24 15 309
Lamei Wang China 10 125 0.5× 42 0.6× 37 0.6× 57 1.5× 11 0.5× 24 339
Daniel P. Riggins United States 5 123 0.5× 23 0.3× 62 1.1× 29 0.7× 11 0.5× 6 377
Aarthi Ravikrishnan Singapore 10 252 1.0× 46 0.7× 50 0.9× 17 0.4× 38 1.6× 14 350
Sebastian Püttker Germany 9 189 0.7× 48 0.7× 26 0.4× 41 1.1× 68 2.8× 11 321
Jiangkun Yu China 12 100 0.4× 38 0.6× 22 0.4× 27 0.7× 22 0.9× 18 316
Weihua Yang China 10 213 0.8× 40 0.6× 113 1.9× 55 1.4× 6 0.3× 32 402
Marta Papini Sweden 6 284 1.1× 72 1.1× 11 0.2× 28 0.7× 18 0.8× 6 459
Tsui-Kang Hsu Taiwan 11 95 0.4× 26 0.4× 43 0.7× 20 0.5× 22 0.9× 27 311
Ranran Huang China 6 195 0.8× 71 1.1× 12 0.2× 26 0.7× 59 2.5× 8 407
Jennifer A. Croix United States 6 261 1.0× 16 0.2× 52 0.9× 44 1.1× 9 0.4× 9 382

Countries citing papers authored by Poonam Phalak

Since Specialization
Citations

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

Fields of papers citing papers by Poonam Phalak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Poonam Phalak

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

All Works

15 of 15 papers shown
1.
2.
Phalak, Poonam, et al.. (2023). Digital Twin Implementation for Manufacturing of Adjuvants. Processes. 11(6). 1717–1717. 6 indexed citations
3.
Phalak, Poonam, et al.. (2022). Computational prediction of blend time in a large‐scale viral inactivation process for monoclonal antibodies biomanufacturing. Biotechnology and Bioengineering. 120(1). 169–183. 3 indexed citations
4.
Phalak, Poonam, Hans C. Bernstein, Stephen R. Lindemann, et al.. (2022). Spatiotemporal Metabolic Network Models Reveal Complex Autotroph-Heterotroph Biofilm Interactions Governed by Photon Incidences. IFAC-PapersOnLine. 55(7). 112–118. 1 indexed citations
5.
Phalak, Poonam & Michael A. Henson. (2019). Metabolic modelling of chronic wound microbiota predicts mutualistic interactions that drive community composition. Journal of Applied Microbiology. 127(5). 1576–1593. 12 indexed citations
6.
Phalak, Poonam & Michael A. Henson. (2019). Metabolic Modeling of Clostridium difficile Associated Dysbiosis of the Gut Microbiota. Processes. 7(2). 97–97. 9 indexed citations
7.
Henson, Michael A., Giulia Orazi, Poonam Phalak, & George A. O’Toole. (2019). Metabolic Modeling of Cystic Fibrosis Airway Communities Predicts Mechanisms of Pathogen Dominance. mSystems. 4(2). 32 indexed citations
8.
Henson, Michael A. & Poonam Phalak. (2018). Suboptimal community growth mediated through metabolite crossfeeding promotes species diversity in the gut microbiota. PLoS Computational Biology. 14(10). e1006558–e1006558. 22 indexed citations
9.
Carlson, Ross P., Ashley E. Beck, Poonam Phalak, et al.. (2018). Competitive resource allocation to metabolic pathways contributes to overflow metabolisms and emergent properties in cross-feeding microbial consortia. Biochemical Society Transactions. 46(2). 269–284. 26 indexed citations
10.
Henson, Michael A. & Poonam Phalak. (2017). Microbiota dysbiosis in inflammatory bowel diseases: in silico investigation of the oxygen hypothesis. BMC Systems Biology. 11(1). 145–145. 68 indexed citations
11.
Henson, Michael A. & Poonam Phalak. (2017). Byproduct Cross Feeding and Community Stability in an In Silico Biofilm Model of the Gut Microbiome. Processes. 5(1). 13–13. 25 indexed citations
12.
Phalak, Poonam, Jin Chen, Ross P. Carlson, & Michael A. Henson. (2016). Metabolic modeling of a chronic wound biofilm consortium predicts spatial partitioning of bacterial species. BMC Systems Biology. 10(1). 90–90. 50 indexed citations
13.
Chen, Jin, et al.. (2016). Spatiotemporal modeling of microbial metabolism. BMC Systems Biology. 10(1). 21–21. 53 indexed citations
14.
Phalak, Poonam, Jin Chen, Ross P. Carlson, & Michael A. Henson. (2016). Spatiotemporal Metabolic Modeling of a Chronic Wound Biofilm Consortium * *The authors wish to acknowledge NIH (Award U01EB019416) and NSF (Award 1511346) for funding this research.. IFAC-PapersOnLine. 49(26). 32–37. 1 indexed citations
15.

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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