Manik Garg

634 total citations
9 papers, 69 citations indexed

About

Manik Garg is a scholar working on Molecular Biology, Infectious Diseases and Environmental Engineering. According to data from OpenAlex, Manik Garg has authored 9 papers receiving a total of 69 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Infectious Diseases and 2 papers in Environmental Engineering. Recurrent topics in Manik Garg's work include SARS-CoV-2 and COVID-19 Research (2 papers), Single-cell and spatial transcriptomics (2 papers) and COVID-19 Clinical Research Studies (2 papers). Manik Garg is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (2 papers), Single-cell and spatial transcriptomics (2 papers) and COVID-19 Clinical Research Studies (2 papers). Manik Garg collaborates with scholars based in United Kingdom, United States and Australia. Manik Garg's co-authors include Dimitrios Vitsios, Eleanor Wheeler, Ryan S. Dhindsa, Jonathan Mitchell, Irene Papatheodorou, Dorota Matelska, Alvis Brāzma, Slavé Petrovski, Amanda O’Neill and Andrew R. Harper and has published in prestigious journals such as Nature Genetics, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Manik Garg

6 papers receiving 69 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Manik Garg United Kingdom	4	27	16	15	14	8	9	69
Marina Esteban‐Medina Spain	8	63 2.3×	7 0.4×	36 2.4×	15 1.1×	12 1.5×	12	128
Jose A. Quiroz United States	5	39 1.4×	16 1.0×	16 1.1×	4 0.3×	7 0.9×	6	111
Givanna Putri Australia	4	56 2.1×	49 3.1×	10 0.7×	4 0.3×	7 0.9×	9	125
Hiu Yan Lam Singapore	6	31 1.1×	30 1.9×	8 0.5×	4 0.3×	6 0.8×	13	107
Russell Ault United States	5	86 3.2×	28 1.8×	20 1.3×	5 0.4×	11 1.4×	7	130
Zhengbo Xue China	6	56 2.1×	11 0.7×	7 0.5×	14 1.0×	28 3.5×	7	125
Ryohtaroh Matsumoto Japan	2	27 1.0×	24 1.5×	8 0.5×	14 1.0×	4 0.5×	2	68
Francisco J. Guzmán‐Vega Saudi Arabia	8	88 3.3×	26 1.6×	14 0.9×	39 2.8×	7 0.9×	15	144
Zhongnan Qin United States	5	22 0.8×	29 1.8×	28 1.9×	4 0.3×	4 0.5×	5	96
José María García-Aznar Spain	4	18 0.7×	8 0.5×	6 0.4×	11 0.8×	3 0.4×	9	40

Countries citing papers authored by Manik Garg

Since Specialization

Citations

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

Fields of papers citing papers by Manik Garg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manik Garg

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Monahan, Jack, Paul G. O’Reilly, Manik Garg, et al.. (2025). The impact of artificial intelligence on biomarker discovery. Emerging Topics in Life Sciences. 8(2). 89–105. 1 indexed citations

2.

Garg, Manik, Dorota Matelska, Oliver S. Burren, et al.. (2024). Disease prediction with multi-omics and biomarkers empowers case–control genetic discoveries in the UK Biobank. Nature Genetics. 56(9). 1821–1831. 33 indexed citations

3.

Chung, Heaseung Sophia, Manik Garg, Ventzislava A. Hristova, et al.. (2024). Longitudinal clinical and proteomic diabetes signatures in women with a history of postgestational diabetes. JCI Insight. 10(2).

4.

Silori, Rahul, et al.. (2024). Assessing Groundwater Quality in the Rapidly Industrialising Selaqui Area of Dehradun, India: Implications for Sustainable Water Management. Water Conservation Science and Engineering. 9(2).

5.

Suresh, Shruthy, Roy Rabbie, Manik Garg, et al.. (2022). Identifying the Transcriptional Drivers of Metastasis Embedded within Localized Melanoma. Cancer Discovery. 13(1). 194–215. 9 indexed citations

6.

Li, Xu, Manik Garg, Tingting Jia, et al.. (2022). Single-Cell Analysis Reveals the Immune Characteristics of Myeloid Cells and Memory T Cells in Recovered COVID-19 Patients With Different Severities. Frontiers in Immunology. 12. 781432–781432. 15 indexed citations

7.

Garg, Manik, Susheela Dahiya, & Keshav Kaushik. (2022). International Cyberspace Laws: A Review. 15–28.

8.

Garg, Manik, et al.. (2022). Real-time Estimation of Nitrogen, Phosphorus, and Potassium in Soil. 2022 IEEE Delhi Section Conference (DELCON). 1–6. 2 indexed citations

9.

Garg, Manik, Li Xu, Pablo Moreno, et al.. (2021). Meta-analysis of COVID-19 single-cell studies confirms eight key immune responses. Scientific Reports. 11(1). 20833–20833. 9 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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