Jayajit Das

2.2k total citations · 1 hit paper
54 papers, 1.6k citations indexed

About

Jayajit Das is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Jayajit Das has authored 54 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 21 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in Jayajit Das's work include T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (19 papers) and Gene Regulatory Network Analysis (12 papers). Jayajit Das is often cited by papers focused on T-cell and B-cell Immunology (20 papers), Immune Cell Function and Interaction (19 papers) and Gene Regulatory Network Analysis (12 papers). Jayajit Das collaborates with scholars based in United States, India and United Kingdom. Jayajit Das's co-authors include Arup K. Chakraborty, Arthur Weiss, Jeroen P. Roose, Julie Zikherman, Sayak Mukherjee, Ming Yang, Mary Ho, Christopher C. Govern, Mehran Kardar and Tyson J. Moyer and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jayajit Das

51 papers receiving 1.6k 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.

Role of nanoscale antigen organization on B-cell activation probed using DNA origami

2020 311 citations Sayak Mukherjee, Jayajit Das et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jayajit Das United States	21	759	743	260	114	100	54	1.6k
Guo Fu United States	28	1.1k 1.4×	856 1.2×	459 1.8×	271 2.4×	93 0.9×	70	2.3k
Beverly Z. Packard United States	21	446 0.6×	666 0.9×	185 0.7×	107 0.9×	82 0.8×	37	1.4k
Matthew J. Bick United States	17	350 0.5×	1.2k 1.6×	229 0.9×	115 1.0×	111 1.1×	22	1.7k
John F. Beausang United States	19	492 0.6×	1000 1.3×	298 1.1×	122 1.1×	290 2.9×	48	1.8k
Martynas Gavutis Germany	15	437 0.6×	491 0.7×	334 1.3×	143 1.3×	211 2.1×	20	1.1k
Navin Varadarajan United States	24	598 0.8×	832 1.1×	483 1.9×	353 3.1×	301 3.0×	62	1.8k
Philipp Eissmann United Kingdom	14	845 1.1×	514 0.7×	215 0.8×	123 1.1×	48 0.5×	15	1.5k
Simon Trowitzsch Germany	24	524 0.7×	1.6k 2.2×	143 0.6×	98 0.9×	70 0.7×	38	2.5k
Erik Bos Netherlands	22	323 0.4×	837 1.1×	151 0.6×	130 1.1×	77 0.8×	44	1.7k
Eilon Sherman Israel	19	396 0.5×	875 1.2×	145 0.6×	121 1.1×	133 1.3×	42	1.5k

Countries citing papers authored by Jayajit Das

Since Specialization

Citations

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

Fields of papers citing papers by Jayajit Das

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jayajit Das

This figure shows the co-authorship network connecting the top 25 collaborators of Jayajit Das. A scholar is included among the top collaborators of Jayajit 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 Jayajit Das. Jayajit 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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20 of 20 papers shown

Allain, Vincent, Janice Arakawa‐Hoyt, Avishai Shemesh, et al.. (2025). SYK negatively regulates ITAM-mediated human NK cell signaling and CD19-CAR NK cell efficacy. The Journal of Immunology. 214(3). 384–398. 1 indexed citations

Stewart, William C., et al.. (2024). Spatial organization and stochastic fluctuations of immune cells impact clinical responsiveness to immunotherapy in melanoma patients. PNAS Nexus. 3(12). pgae539–pgae539.

Stewart, William C., et al.. (2023). BioNetGMMFit: estimating parameters of a BioNetGen model from time-stamped snapshots of single cells. npj Systems Biology and Applications. 9(1). 46–46.

Wu, Zeguang, Soohyung Park, Colleen M. Lau, et al.. (2021). Dynamic variability in SHP-1 abundance determines natural killer cell responsiveness. Science Signaling. 14(708). eabe5380–eabe5380. 18 indexed citations

Harder, Olivia, William C. Stewart, Phylip Chen, et al.. (2019). Mathematical modelling identifies the role of adaptive immunity as a key controller of respiratory syncytial virus in cotton rats. Journal of The Royal Society Interface. 16(160). 20190389–20190389. 20 indexed citations

Peng, Tan Li, et al.. (2018). Mutations in bacterial genes induce unanticipated changes in the relationship between bacterial pathogens in experimental otitis media. Royal Society Open Science. 5(11). 180810–180810. 3 indexed citations

Jadcherla, Sudarshan R., Varsha Prabhakar, Kathryn A. Hasenstab, et al.. (2018). Defining pharyngeal contractile integral during high-resolution manometry in neonates: a neuromotor marker of pharyngeal vigor. Pediatric Research. 84(3). 341–347. 15 indexed citations

Sugár, István P., Jayajit Das, C. Jayaprakash, & Stuart C. Sealfon. (2017). Multiscale Modeling of Complex Formation and CD80 Depletion during Immune Synapse Development. Biophysical Journal. 112(5). 997–1009. 11 indexed citations

Das, Jayajit. (2016). Limiting Energy Dissipation Induces Glassy Kinetics in Single-Cell High-Precision Responses. Biophysical Journal. 110(5). 1180–1190. 2 indexed citations

10.

Mukherjee, Sayak, Stéphanie Rigaud, Michael H. Dworkin, et al.. (2014). Correction: In Silico Modeling of Itk Activation Kinetics in Thymocytes Suggests Competing Positive and Negative IP₄Mediated Feedbacks Increase Robustness. PLoS ONE. 9(1). 4 indexed citations

11.

Mukherjee, Sayak, Kristin E. D. Weimer, C. Jayaprakash, et al.. (2014). Host-to-host variation of ecological interactions in polymicrobial infections. Physical Biology. 12(1). 16003–16003. 6 indexed citations

12.

Mukherjee, Sayak, Stéphanie Rigaud, Guo Fu, et al.. (2013). In Silico Modeling of Itk Activation Kinetics in Thymocytes Suggests Competing Positive and Negative IP4 Mediated Feedbacks Increase Robustness. PLoS ONE. 8(9). e73937–e73937. 7 indexed citations

13.

Vieland, Veronica J., et al.. (2013). Measurement of statistical evidence on an absolute scale following thermodynamic principles. Theory in Biosciences. 132(3). 181–194. 5 indexed citations

14.

Mukherjee, Sayak, et al.. (2012). Dramatic reduction of dimensionality in large biochemical networks owing to strong pair correlations. Journal of The Royal Society Interface. 9(73). 1824–1835. 5 indexed citations

15.

Riese, Matthew J., et al.. (2010). Decreased Diacylglycerol Metabolism Enhances ERK Activation and Augments CD8+ T Cell Functional Responses. Journal of Biological Chemistry. 286(7). 5254–5265. 56 indexed citations

16.

Das, Jayajit. (2010). Activation or Tolerance of Natural Killer Cells Is Modulated by Ligand Quality in a Nonmonotonic Manner. Biophysical Journal. 99(7). 2028–2037. 21 indexed citations

17.

Chakraborty, Arup K., Jayajit Das, Julie Zikherman, et al.. (2009). Molecular Origin and Functional Consequences of Digital Signaling and Hysteresis During Ras Activation in Lymphocytes. PubMed Central. 8 indexed citations

18.

Das, Jayajit, Mary Ho, Julie Zikherman, et al.. (2009). Digital Signaling and Hysteresis Characterize Ras Activation in Lymphoid Cells. Cell. 136(2). 337–351. 313 indexed citations

19.

Wylie, Dennis, Jayajit Das, & Arup K. Chakraborty. (2007). Sensitivity of T cells to antigen and antagonism emerges from differential regulation of the same molecular signaling module. Proceedings of the National Academy of Sciences. 104(13). 5533–5538. 42 indexed citations

20.

Čemerski, Sašo, Jayajit Das, Jason W. Locasale, et al.. (2007). The Stimulatory Potency of T Cell Antigens Is Influenced by the Formation of the Immunological Synapse. Immunity. 26(3). 345–355. 74 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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