Shibali Das

1.5k total citations
29 papers, 499 citations indexed

About

Shibali Das is a scholar working on Immunology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Shibali Das has authored 29 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology, 16 papers in Infectious Diseases and 11 papers in Epidemiology. Recurrent topics in Shibali Das's work include Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (9 papers) and Cytokine Signaling Pathways and Interactions (6 papers). Shibali Das is often cited by papers focused on Tuberculosis Research and Epidemiology (13 papers), Mycobacterium research and diagnosis (9 papers) and Cytokine Signaling Pathways and Interactions (6 papers). Shibali Das collaborates with scholars based in United States, India and Germany. Shibali Das's co-authors include Subrata Majumdar, Mushtaq Ahmed, Shabaana A. Khader, Javier Rangel‐Moreno, Saikat Majumder, Kristin Griffiths, Nishith Kumar Pal, Maxim N. Artyomov, Sweta Ghosh and Jay K. Kolls and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Virology.

In The Last Decade

Shibali Das

27 papers receiving 493 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shibali Das United States 13 243 224 187 113 70 29 499
Suzanne Butcher Australia 6 288 1.2× 167 0.7× 163 0.9× 128 1.1× 27 0.4× 7 518
Jyoti Batra India 12 111 0.5× 130 0.6× 170 0.9× 210 1.9× 33 0.5× 32 496
Marie-Laure Bourigault France 8 211 0.9× 177 0.8× 119 0.6× 60 0.5× 42 0.6× 10 372
Juliana Gil Melgaço Brazil 12 188 0.8× 196 0.9× 266 1.4× 119 1.1× 40 0.6× 28 659
Prashant Rai United States 10 241 1.0× 60 0.3× 187 1.0× 213 1.9× 48 0.7× 19 543
Karen Poon Canada 6 808 3.3× 137 0.6× 101 0.5× 344 3.0× 51 0.7× 6 1.0k
Sandra D. Oland United States 6 451 1.9× 419 1.9× 256 1.4× 195 1.7× 30 0.4× 8 829
Vânia Niéto Brito de Souza Brazil 12 94 0.4× 280 1.3× 241 1.3× 36 0.3× 32 0.5× 31 432
Melania Cruciani Italy 11 121 0.5× 158 0.7× 95 0.5× 165 1.5× 22 0.3× 13 392
Jonathan Kevin Sia United States 8 199 0.8× 342 1.5× 223 1.2× 109 1.0× 14 0.2× 8 486

Countries citing papers authored by Shibali Das

Since Specialization
Citations

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

Fields of papers citing papers by Shibali Das

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shibali Das

This figure shows the co-authorship network connecting the top 25 collaborators of Shibali Das. A scholar is included among the top collaborators of Shibali Das 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 Shibali Das. Shibali Das 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.
He, Ruijun, Farid F. Kadyrov, Andrew L. Koenig, et al.. (2026). DNA-damaging chemotherapy reshapes cardiac-resident macrophage composition and function. Science Immunology. 11(115). eadu4944–eadu4944.
2.
Jiménez, Jesús, Junedh Amrute, Pan Ma, et al.. (2025). The immune checkpoint regulator CD40 potentiates myocardial inflammation. Nature Cardiovascular Research. 4(4). 458–472. 2 indexed citations
3.
Das, Shibali & Kory J. Lavine. (2025). Role of Trained Immunity in Heath and Disease. Current Cardiology Reports. 27(1). 18–18.
4.
Kadyrov, Farid F., Andrew L. Koenig, Junedh Amrute, et al.. (2024). Hypoxia sensing in resident cardiac macrophages regulates monocyte fate specification following ischemic heart injury. Nature Cardiovascular Research. 3(11). 1337–1355. 7 indexed citations
5.
Akter, Sadia, Shibali Das, Ekansh Mittal, et al.. (2024). A protective role for type I interferon signaling following infection with Mycobacterium tuberculosis carrying the rifampicin drug resistance-conferring RpoB mutation H445Y. PLoS Pathogens. 20(4). e1012137–e1012137. 3 indexed citations
6.
Dmytrenko, Oleksandr, Shibali Das, Attila Kovács, et al.. (2024). Infiltrating monocytes drive cardiac dysfunction in a cardiomyocyte-restricted mouse model of SARS-CoV-2 infection. Journal of Virology. 98(9). e0117924–e0117924. 4 indexed citations
7.
Das, Shibali, Surya Prakash Pandey, Raki Sudan, et al.. (2023). SHIP1 inhibition via 3-alpha-amino-cholestane enhances protection against Leishmania infection. Cytokine. 171. 156373–156373. 4 indexed citations
8.
Singh, Dhiraj Kumar, Ekaterina Aladyeva, Shibali Das, et al.. (2022). Myeloid cell interferon responses correlate with clearance of SARS-CoV-2. Nature Communications. 13(1). 679–679. 27 indexed citations
9.
Das, Shibali, Nancy D. Marín, Ekaterina Esaulova, et al.. (2021). Lung Epithelial Signaling Mediates Early Vaccine-Induced CD4 + T Cell Activation and Mycobacterium tuberculosis Control. mBio. 12(4). e0146821–e0146821. 11 indexed citations
10.
Ahmed, Mushtaq, Shyamala Thirunavukkarasu, Bruce A. Rosa, et al.. (2020). Immune correlates of tuberculosis disease and risk translate across species. Science Translational Medicine. 12(528). 45 indexed citations
11.
Dunlap, Micah, Nicole C. Howard, Shibali Das, et al.. (2018). A novel role for C–C motif chemokine receptor 2 during infection with hypervirulent Mycobacterium tuberculosis. Mucosal Immunology. 11(6). 1727–1742. 35 indexed citations
12.
Ahmed, Mushtaq, Hongmei Jiao, Racquel Domingo-Gonzalez, et al.. (2017). Rationalized design of a mucosal vaccine protects against Mycobacterium tuberculosis challenge in mice. Journal of Leukocyte Biology. 101(6). 1373–1381. 24 indexed citations
13.
Griffiths, Kristin, Mushtaq Ahmed, Shibali Das, et al.. (2016). Targeting dendritic cells to accelerate T-cell activation overcomes a bottleneck in tuberculosis vaccine efficacy. Nature Communications. 7(1). 13894–13894. 95 indexed citations
14.
Mahapatra, Santanu Kar, et al.. (2015). Toll-Like Receptor 2 Targeted Rectification of Impaired CD8+ T Cell Functions in Experimental Leishmania donovani Infection Reinstates Host Protection. PLoS ONE. 10(11). e0142800–e0142800. 7 indexed citations
15.
Choudhuri, Subhadip, Imran H. Chowdhury, Shibali Das, et al.. (2015). Role of NF-κB activation and VEGF gene polymorphisms in VEGF up regulation in non-proliferative and proliferative diabetic retinopathy. Molecular and Cellular Biochemistry. 405(1-2). 265–279. 45 indexed citations
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Das, Shibali, et al.. (2014). Immune Subversion by Mycobacterium tuberculosis through CCR5 Mediated Signaling: Involvement of IL-10. PLoS ONE. 9(4). e92477–e92477. 33 indexed citations
20.
Mahapatra, Tanmay, Sanchita Mahapatra, Shibali Das, et al.. (2014). Correlates of Treatment Outcomes and Drug Resistance among Pulmonary Tuberculosis Patients Attending Tertiary Care Hospitals of Kolkata, India. PLoS ONE. 9(10). e109563–e109563. 13 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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