Amitabh Sharma

7.9k total citations · 2 hit papers
38 papers, 3.0k citations indexed

About

Amitabh Sharma is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Amitabh Sharma has authored 38 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 8 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Amitabh Sharma's work include Bioinformatics and Genomic Networks (16 papers), Biomedical Text Mining and Ontologies (5 papers) and Gene Regulatory Network Analysis (5 papers). Amitabh Sharma is often cited by papers focused on Bioinformatics and Genomic Networks (16 papers), Biomedical Text Mining and Ontologies (5 papers) and Gene Regulatory Network Analysis (5 papers). Amitabh Sharma collaborates with scholars based in United States, India and Sweden. Amitabh Sharma's co-authors include Albert-Ĺaszló Barabási, Jörg Menche, Joseph Loscalzo, Susan Dina Ghiassian, Maksim Kitsak, Marc Vidal, Xuezhong Zhou, Arda Halu, Scott T. Weiss and Kimberly Glass and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Amitabh Sharma

37 papers receiving 3.0k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Uncovering disease-disease relationships through the incomplete interactome

2015 1000 citations Jörg Menche, Amitabh Sharma et al. profile →
Human symptoms–disease network

2014 452 citations Jörg Menche, Albert-Ĺaszló Barabási et al. Nature Communications profile →

Peers

Amitabh Sharma

CTM

GENET

PRM

IMMUN

Emilio Centeno Spain

Jörg Menche Austria

Javier Garcı́a-Garcı́a Spain

Álex Bravo Spain

Anna Bauer‐Mehren United States

Núria Queralt-Rosiñach Spain

Christine J. McNamee United Kingdom

David Cavalla United States

Stephan C. Schürer United States

Cynthia Grondin United States

Emilio Centeno Spain

Amitabh Sharma

2.3k ×1.2

605 ×1.1

CTM

445 ×1.5

GENET

192 ×0.8

PRM

234 ×1.1

IMMUN

Citations per year, relative to Amitabh Sharma Amitabh Sharma (= 1×) peers Emilio Centeno

Countries citing papers authored by Amitabh Sharma

Since Specialization

Citations

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

Fields of papers citing papers by Amitabh Sharma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amitabh Sharma

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

All Works

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20 of 20 papers shown

Decano, Julius L., Enrico Maiorino, Joan T. Matamalas, et al.. (2023). Cellular Heterogeneity of Activated Primary Human Macrophages and Associated Drug–Gene Networks: From Biology to Precision Therapeutics. Circulation. 148(19). 1459–1478. 15 indexed citations

Röhl, Annika, Seung Han Baek, Priyadarshini Kachroo, et al.. (2022). Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease. Respiratory Research. 23(1). 69–69. 5 indexed citations

Decano, Julius L., Sasha A. Singh, Lang Ho Lee, et al.. (2021). Systems Approach to Discovery of Therapeutic Targets for Vein Graft Disease: PPARα Pivotally Regulates Metabolism, Activation, and Heterogeneity of Macrophages and Lesion Development. Circulation. 143(25). 2454–2470. 21 indexed citations

Liu, Xueming, Enrico Maiorino, Arda Halu, et al.. (2020). Robustness and lethality in multilayer biological molecular networks. Nature Communications. 11(1). 6043–6043. 79 indexed citations

Sharma, Amitabh, et al.. (2020). Middle ear adenoma with neuroendocrine differentiation: Report of a rare case. Indian Journal of Cancer. 57(1). 98–98. 3 indexed citations

Halu, Arda, Manlio De Domenico, Àlex Arenas, & Amitabh Sharma. (2019). The multiplex network of human diseases. npj Systems Biology and Applications. 5(1). 15–15. 85 indexed citations

Sonawane, Abhijeet R., Scott T. Weiss, Kimberly Glass, & Amitabh Sharma. (2019). Network Medicine in the Age of Biomedical Big Data. Frontiers in Genetics. 10. 294–294. 135 indexed citations

Kılıç, Ayşe, Marc Santolini, Taiji Nakano, et al.. (2018). A systems immunology approach identifies the collective impact of 5 miRs in Th2 inflammation. JCI Insight. 3(11). 12 indexed citations

Halu, Arda, et al.. (2018). Context-enriched interactome powered by proteomics helps the identification of novel regulators of macrophage activation. eLife. 7. 10 indexed citations

10.

Sharma, Amitabh, Arda Halu, Julius L. Decano, et al.. (2018). Controllability in an islet specific regulatory network identifies the transcriptional factor NFATC4, which regulates Type 2 Diabetes associated genes. npj Systems Biology and Applications. 4(1). 25–25. 23 indexed citations

11.

Sharma, Amitabh, Maksim Kitsak, Michael H. Cho, et al.. (2018). Integration of Molecular Interactome and Targeted Interaction Analysis to Identify a COPD Disease Network Module. Scientific Reports. 8(1). 14439–14439. 31 indexed citations

12.

Menche, Jörg, Emre Güney, Amitabh Sharma, et al.. (2017). Integrating personalized gene expression profiles into predictive disease-associated gene pools. npj Systems Biology and Applications. 3(1). 10–10. 49 indexed citations

13.

Ghiassian, Susan Dina, Jörg Menche, Daniel I. Chasman, et al.. (2016). Endophenotype Network Models: Common Core of Complex Diseases. Scientific Reports. 6(1). 27414–27414. 70 indexed citations

14.

Kitsak, Maksim, Amitabh Sharma, Jörg Menche, et al.. (2016). Tissue Specificity of Human Disease Module. Scientific Reports. 6(1). 35241–35241. 70 indexed citations

15.

Sharma, Amitabh, Amir Bashan, & Albert-Ĺaszló Barabási. (2014). Network Approach to Disease Diagnosis. Bulletin of the American Physical Society. 2014. 1 indexed citations

16.

Sharma, Amitabh, Natali Gulbahce, Samuel Pevzner, et al.. (2013). Network-based Analysis of Genome Wide Association Data Provides Novel Candidate Genes for Lipid and Lipoprotein Traits. Molecular & Cellular Proteomics. 12(11). 3398–3408. 22 indexed citations

17.

Sharma, Amitabh, Sreenivas Chavali, Rubina Tabassum, Nikhil Tandon, & Dwaipayan Bharadwaj. (2010). Gene prioritization in Type 2 Diabetes using domain interactions and network analysis. BMC Genomics. 11(1). 84–84. 20 indexed citations

18.

Chavali, Sreenivas, Amitabh Sharma, Rubina Tabassum, & Dwaipayan Bharadwaj. (2008). Sequence and structural properties of identical mutations with varying phenotypes in human coagulation factor IX. Proteins Structure Function and Bioinformatics. 73(1). 63–71. 11 indexed citations

19.

Sharma, Priyanka, Vani Brahmachari, Elayanambi Sundaramoorthy, et al.. (2006). Mining literature for a comprehensive pathway analysis: A case study for retrieval of homocysteine related genes for genetic and epigenetic studies. Lipids in Health and Disease. 5(1). 1–1. 142 indexed citations

20.

Sharma, Anjana & Amitabh Sharma. (2004). Degradation assessment of low density polythene (LDP) and polythene (PP) by an indigenous isolate of Pseudomonas stutzeri. Journal of Scientific & Industrial Research. 63(3). 293–296. 21 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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