Shonit Das

2.3k total citations · 1 hit paper
15 papers, 1.7k citations indexed

About

Shonit Das is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Shonit Das has authored 15 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 3 papers in Surgery and 3 papers in Molecular Biology. Recurrent topics in Shonit Das's work include Respiratory Support and Mechanisms (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Mesenchymal stem cell research (2 papers). Shonit Das is often cited by papers focused on Respiratory Support and Mechanisms (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Mesenchymal stem cell research (2 papers). Shonit Das collaborates with scholars based in United States, India and Denmark. Shonit Das's co-authors include Jahar Bhattacharya, Sunita Bhattacharya, Sadiqa K. Quadri, Mohammad Naimul Islam, Memet Emin, David J. Rowlands, Li Sun, Kristin Westphalen, Michelle Wei and Sandra Houser and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Shonit Das

15 papers receiving 1.7k 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.

Mitochondrial transfer from bone-marrow–derived stromal cells to pulmonary alveoli protects against acute lung injury

2012 1.1k citations Mohammad Naimul Islam, Shonit Das et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shonit Das United States	9	857	558	438	306	232	15	1.7k
Sadiqa K. Quadri United States	13	950 1.1×	559 1.0×	534 1.2×	319 1.0×	241 1.0×	18	2.0k
Hirofumi Hirano Japan	25	736 0.9×	910 1.6×	275 0.6×	288 0.9×	334 1.4×	103	2.3k
Yong-Jian Geng United States	24	956 1.1×	488 0.9×	439 1.0×	745 2.4×	137 0.6×	39	2.5k
Siddaraju V. Boregowda United States	15	821 1.0×	478 0.9×	185 0.4×	233 0.8×	124 0.5×	26	1.3k
Jae Kyung Myung South Korea	24	537 0.6×	338 0.6×	328 0.7×	190 0.6×	224 1.0×	99	1.5k
Weiquan Zhu China	20	889 1.0×	317 0.6×	159 0.4×	254 0.8×	215 0.9×	42	2.1k
Fangming Lin United States	21	1.8k 2.1×	387 0.7×	269 0.6×	483 1.6×	289 1.2×	36	3.1k
Kazuhiro Tanaka Japan	23	924 1.1×	491 0.9×	283 0.6×	101 0.3×	280 1.2×	85	1.8k
Ayman Al Haj Zen United Kingdom	23	722 0.8×	209 0.4×	295 0.7×	319 1.0×	79 0.3×	37	1.6k

Countries citing papers authored by Shonit Das

Since Specialization

Citations

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

Fields of papers citing papers by Shonit Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shonit Das

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

All Works

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15 of 15 papers shown

Das, Shonit, et al.. (2023). Pathological and molecular studies of Peste des Petits ruminants in goats of Assam. International Journal of Advanced Biochemistry Research. 7(2S). 581–586. 1 indexed citations

Islam, Mohammad Naimul, Galina A. Gusarova, Shonit Das, et al.. (2022). The mitochondrial calcium uniporter of pulmonary type 2 cells determines severity of acute lung injury. Nature Communications. 13(1). 5837–5837. 12 indexed citations

Gusarova, Galina A., Shonit Das, Mohammad Naimul Islam, et al.. (2021). Actin fence therapy with exogenous V12Rac1 protects against acute lung injury. JCI Insight. 6(6). 7 indexed citations

Islam, Mohammad Naimul, et al.. (2019). Endothelial mitochondria determine rapid barrier failure in chemical lung injury. JCI Insight. 4(3). 35 indexed citations

Islam, Mohammad Naimul, Galina A. Gusarova, Shonit Das, & Jahar Bhattacharya. (2016). Mitochondrial Dysfunction in Acute Lung Injury is Characterized By Loss of Mitochondrial Calcium Uniporter (MCU). The FASEB Journal. 30(S1). 1 indexed citations

Huertas, Alice, Shonit Das, Memet Emin, et al.. (2013). Erythrocytes Induce Proinflammatory Endothelial Activation in Hypoxia. American Journal of Respiratory Cell and Molecular Biology. 48(1). 78–86. 22 indexed citations

Islam, Mohammad Naimul, et al.. (2013). F-actin scaffold stabilizes lamellar bodies during surfactant secretion. American Journal of Physiology-Lung Cellular and Molecular Physiology. 306(1). L50–L57. 18 indexed citations

Islam, Mohammad Naimul, Shonit Das, Memet Emin, et al.. (2012). Mitochondrial transfer from bone-marrow–derived stromal cells to pulmonary alveoli protects against acute lung injury. Nature Medicine. 18(5). 759–765. 1130 indexed citations breakdown →

Emin, Memet, Li Sun, Alice Huertas, et al.. (2012). Platelets induce endothelial tissue factor expression in a mouse model of acid-induced lung injury. American Journal of Physiology-Lung Cellular and Molecular Physiology. 302(11). L1209–L1220. 13 indexed citations

10.

Rowlands, David J., Mohammad Naimul Islam, Shonit Das, et al.. (2011). Activation of TNFR1 ectodomain shedding by mitochondrial Ca2+ determines the severity of inflammation in mouse lung microvessels. Journal of Clinical Investigation. 121(5). 1986–1999. 86 indexed citations

11.

Islam, Mohammad Naimul, Li Sun, Jens Lindert, Shonit Das, & Jahar Bhattacharya. (2011). Restoration Of Alveolar Bioenergetics By Bone Marrow-Derived Mesenchymal Stromal Cells. A1245–A1245. 2 indexed citations

12.

Otsu, Keishi, Shonit Das, Sandra Houser, et al.. (2008). Concentration-dependent inhibition of angiogenesis by mesenchymal stem cells. Blood. 113(18). 4197–4205. 283 indexed citations

13.

Kniazeff, Julie, Claus J. Løland, Naomi R. Goldberg, et al.. (2005). Intramolecular cross-linking in a bacterial homolog of mammalian SLC6 neurotransmitter transporters suggests an evolutionary conserved role of transmembrane segments 7 and 8. Neuropharmacology. 49(6). 715–723. 8 indexed citations

14.

Androutsellis‐Theotokis, Andreas, Naomi R. Goldberg, Kenji Uéda, et al.. (2003). Characterization of a Functional Bacterial Homologue of Sodium-dependent Neurotransmitter Transporters. Journal of Biological Chemistry. 278(15). 12703–12709. 77 indexed citations

15.

Androutsellis‐Theotokis, Andreas, Naomi R. Goldberg, Teruhiko Beppu, et al.. (2003). Characterization of a functional bacterial homologue of sodium-dependent neurotransmitter transporters.. Journal of Biological Chemistry. 278(28). 26302–26302. 1 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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