Gulam M. Rather

756 total citations
23 papers, 588 citations indexed

About

Gulam M. Rather is a scholar working on Molecular Biology, Biomedical Engineering and Oncology. According to data from OpenAlex, Gulam M. Rather has authored 23 papers receiving a total of 588 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 5 papers in Biomedical Engineering and 4 papers in Oncology. Recurrent topics in Gulam M. Rather's work include Microfluidic and Bio-sensing Technologies (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Computational Drug Discovery Methods (3 papers). Gulam M. Rather is often cited by papers focused on Microfluidic and Bio-sensing Technologies (5 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Computational Drug Discovery Methods (3 papers). Gulam M. Rather collaborates with scholars based in United States, India and Saudi Arabia. Gulam M. Rather's co-authors include Joseph R. Bertino, Md Tabish Rehman, Mohamed F. Alajmi, Afzal Hussain, Amjad M. Husaini, Malik Zainul Abdin, Munishwar Nath Gupta, Zoltán Székely, Keri Lestari and Herry Herman and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Gulam M. Rather

23 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gulam M. Rather United States 12 324 124 63 62 60 23 588
Mubashir J. Mintoo India 17 354 1.1× 59 0.5× 64 1.0× 36 0.6× 88 1.5× 25 698
Malek Zihlif Jordan 15 297 0.9× 55 0.4× 101 1.6× 54 0.9× 125 2.1× 78 742
Dilip M. Mondhe India 20 535 1.7× 93 0.8× 69 1.1× 45 0.7× 117 1.9× 30 1.1k
Álvaro Cortés-Cabrera Spain 17 460 1.4× 60 0.5× 49 0.8× 101 1.6× 106 1.8× 39 736
Aljawharah Alqathama Saudi Arabia 14 275 0.8× 55 0.4× 30 0.5× 33 0.5× 47 0.8× 38 719
Marie-Hélène Teiten Luxembourg 14 426 1.3× 99 0.8× 59 0.9× 25 0.4× 81 1.4× 15 859
Yung‐Yi Cheng Taiwan 18 405 1.3× 61 0.5× 42 0.7× 28 0.5× 106 1.8× 52 845
En‐Shyh Lin Taiwan 18 401 1.2× 53 0.4× 50 0.8× 23 0.4× 63 1.1× 52 869
Μaria V. Chatziathanasiadou Greece 14 249 0.8× 42 0.3× 32 0.5× 45 0.7× 45 0.8× 30 663
Adam Hermawan Indonesia 17 601 1.9× 54 0.4× 93 1.5× 56 0.9× 191 3.2× 116 1.1k

Countries citing papers authored by Gulam M. Rather

Since Specialization
Citations

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

Fields of papers citing papers by Gulam M. Rather

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gulam M. Rather. 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 Gulam M. Rather. The network helps show where Gulam M. Rather may publish in the future.

Co-authorship network of co-authors of Gulam M. Rather

This figure shows the co-authorship network connecting the top 25 collaborators of Gulam M. Rather. A scholar is included among the top collaborators of Gulam M. Rather 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 Gulam M. Rather. Gulam M. Rather 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.
Rather, Gulam M., et al.. (2025). Ionic Cell Microscopy: A new modality for visualizing cells using microfluidic impedance cytometry and generative artificial intelligence. Biosensors and Bioelectronics X. 24. 100619–100619. 1 indexed citations
2.
Rather, Gulam M., et al.. (2024). Integrating optical and electrical sensing with machine learning for advanced particle characterization. Biomedical Microdevices. 26(2). 25–25. 5 indexed citations
3.
Rather, Gulam M., et al.. (2021). In cancer, all roads lead to NADPH. Pharmacology & Therapeutics. 226. 107864–107864. 61 indexed citations
4.
5.
Lin, Siang-Yo, Pengfei Xie, Chen‐Yong Lin, et al.. (2020). Rapid Assessment of Surface Markers on Cancer Cells Using Immuno-Magnetic Separation and Multi-frequency Impedance Cytometry for Targeted Therapy. Scientific Reports. 10(1). 3015–3015. 26 indexed citations
6.
Rather, Gulam M., et al.. (2020). NAD- and NADPH-Contributing Enzymes as Therapeutic Targets in Cancer: An Overview. Biomolecules. 10(3). 358–358. 71 indexed citations
7.
Rehman, Md Tabish, et al.. (2019). High-Throughput Virtual Screening, Molecular Dynamics Simulation, and Enzyme Kinetics Identified ZINC84525623 as a Potential Inhibitor of NDM-1. International Journal of Molecular Sciences. 20(4). 819–819. 69 indexed citations
8.
Ahuja, Karan, Gulam M. Rather, Pengfei Xie, et al.. (2019). Toward point-of-care assessment of patient response: a portable tool for rapidly assessing cancer drug efficacy using multifrequency impedance cytometry and supervised machine learning. Microsystems & Nanoengineering. 5(1). 34–34. 58 indexed citations
9.
Rather, Gulam M., Siang-Yo Lin, Hongxia Lin, Zoltán Székely, & Joseph R. Bertino. (2019). A Novel Antibody-Toxin Conjugate to Treat Mantle Cell Lymphoma. Frontiers in Oncology. 9. 258–258. 4 indexed citations
10.
Tang, Hao, Suresh Venkatesh, Xuyang Lu, et al.. (2019). 2D Magnetic Sensor Array for Real-time Cell Tracking and Multi-site Detection with Increased Robustness and Flow-rate. View. 8 indexed citations
11.
12.
Alajmi, Mohamed F., Md Tabish Rehman, Afzal Hussain, & Gulam M. Rather. (2018). Pharmacoinformatics approach for the identification of Polo-like kinase-1 inhibitors from natural sources as anti-cancer agents. International Journal of Biological Macromolecules. 116. 173–181. 90 indexed citations
13.
Rather, Gulam M., Nitu Bansal, Tamara Minko, et al.. (2018). Modeling and antitumor studies of a modified L-penetratin peptide targeting E2F in lung cancer and prostate cancer. Oncotarget. 9(70). 33249–33257. 7 indexed citations
14.
Rather, Gulam M., Siang-Yo Lin, Hongxia Lin, et al.. (2018). Activated matriptase as a target to treat breast cancer with a drug conjugate. Oncotarget. 9(40). 25983–25992. 13 indexed citations
15.
Rather, Gulam M., et al.. (2015). Thermostable α‐amylase immobilization: Enhanced stability and performance for starch biocatalysis. Biotechnology and Applied Biochemistry. 63(1). 57–66. 10 indexed citations
16.
Rather, Gulam M. & Munishwar Nath Gupta. (2013). Three phase partitioning leads to subtle structural changes in proteins. International Journal of Biological Macromolecules. 60. 134–140. 15 indexed citations
17.
Rather, Gulam M. & Munishwar Nath Gupta. (2013). Refolding of urea denatured ovalbumin with three phase partitioning generates many conformational variants. International Journal of Biological Macromolecules. 60. 301–308. 8 indexed citations
18.
Gautam, Saurabh, et al.. (2012). Non-Chromatographic Strategies for Protein Refolding. Recent Patents on Biotechnology. 6(1). 57–68. 18 indexed citations
19.
Rather, Gulam M., Joyeeta Mukherjee, Peter J. Halling, & Munishwar Nath Gupta. (2012). Activation of Alpha Chymotrypsin by Three Phase Partitioning Is Accompanied by Aggregation. PLoS ONE. 7(12). e49241–e49241. 17 indexed citations
20.
Husaini, Amjad M., et al.. (2009). Overexpression of the HMG‐CoA Reductase Gene Leads to Enhanced Artemisinin Biosynthesis in TransgenicArtemisia annuaPlants. Planta Medica. 75(13). 1453–1458. 85 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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