Sumit Mukherjee

2.7k total citations · 1 hit paper
22 papers, 1.1k citations indexed

About

Sumit Mukherjee is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Sumit Mukherjee has authored 22 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Sumit Mukherjee's work include Building Energy and Comfort Optimization (3 papers), Single-cell and spatial transcriptomics (3 papers) and Bioinformatics and Genomic Networks (3 papers). Sumit Mukherjee is often cited by papers focused on Building Energy and Comfort Optimization (3 papers), Single-cell and spatial transcriptomics (3 papers) and Bioinformatics and Genomic Networks (3 papers). Sumit Mukherjee collaborates with scholars based in United States, United Kingdom and India. Sumit Mukherjee's co-authors include Georg Seelig, Suzie H. Pun, Drew L. Sellers, Anna Kuchina, Bosiljka Tasic, David J. Peeler, Zizhen Yao, Charles M. Roco, Alexander Rosenberg and Paul Sample and has published in prestigious journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Sumit Mukherjee

21 papers receiving 1.0k 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.

Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding

2018 877 citations Alexander Rosenberg, Charles M. Roco et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sumit Mukherjee United States	9	817	170	151	103	102	22	1.1k
Cindy Liu United States	3	879 1.1×	125 0.7×	156 1.0×	201 2.0×	75 0.7×	6	1.0k
Nathalie Saurat United States	7	694 0.8×	254 1.5×	98 0.6×	70 0.7×	134 1.3×	10	950
Zhicheng Ji United States	18	978 1.2×	258 1.5×	160 1.1×	163 1.6×	52 0.5×	61	1.4k
Anna Kuchina United States	8	1.2k 1.5×	182 1.1×	163 1.1×	129 1.3×	91 0.9×	14	1.4k
Tian Lu China	9	838 1.0×	113 0.7×	84 0.6×	121 1.2×	47 0.5×	17	1.0k
Jennifer Chew United States	8	832 1.0×	141 0.8×	138 0.9×	108 1.0×	67 0.7×	11	1.0k
Cedric R. Uytingco United States	10	1.0k 1.3×	131 0.8×	190 1.3×	139 1.3×	78 0.8×	17	1.2k
Philip Brennecke Germany	5	940 1.2×	204 1.2×	198 1.3×	86 0.8×	29 0.3×	5	1.1k
Kieran R. Campbell Canada	13	1.0k 1.3×	271 1.6×	310 2.1×	140 1.4×	101 1.0×	27	1.4k
Yuzhou Chang China	20	1.0k 1.3×	425 2.5×	187 1.2×	112 1.1×	138 1.4×	44	1.5k

Countries citing papers authored by Sumit Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Sumit Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumit Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Mukherjee. A scholar is included among the top collaborators of Sumit Mukherjee 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 Sumit Mukherjee. Sumit Mukherjee 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

McCaw, Zachary R., Rounak Dey, David Amar, et al.. (2025). Pitfalls in performing genome-wide association studies on ratio traits. Human Genetics and Genomics Advances. 6(2). 100406–100406.

Mukherjee, Sumit, Zachary R. McCaw, David Amar, et al.. (2024). EmbedGEM: a framework to evaluate the utility of embeddings for genetic discovery. Bioinformatics Advances. 4(1). vbae135–vbae135. 1 indexed citations

Kshirsagar, Meghana, et al.. (2024). Assessment of differentially private synthetic data for utility and fairness in end-to-end machine learning pipelines for tabular data. PLoS ONE. 19(2). e0297271–e0297271. 8 indexed citations

Nasir, Md, et al.. (2023). Using Data Science and a Health Equity Lens to Identify Long-COVID Sequelae Among Medically Underserved Populations. Journal of Health Care for the Poor and Underserved. 34(2). 521–534. 2 indexed citations

Kshirsagar, Meghana, Md Nasir, Sumit Mukherjee, et al.. (2022). The Risk of Hospitalization and Mortality After Breakthrough SARS-CoV-2 Infection by Vaccine Type: Observational Study of Medical Claims Data. JMIR Public Health and Surveillance. 8(11). e38898–e38898. 6 indexed citations

Mukherjee, Sumit, Meghana Kshirsagar, Yixi Xu, et al.. (2022). Identifying long-term effects of SARS-CoV-2 and their association with social determinants of health in a cohort of over one million COVID-19 survivors. BMC Public Health. 22(1). 2394–2394. 3 indexed citations

Dixon, Brian E., Sumit Mukherjee, Ashley Wiensch, et al.. (2021). Capturing COVID-19–Like Symptoms at Scale Using Banner Ads on an Online News Platform: Pilot Survey Study. Journal of Medical Internet Research. 23(5). e24742–e24742. 4 indexed citations

Mukherjee, Sumit, et al.. (2021). privGAN: Protecting GANs from membership inference attacks at low cost to utility. SHILAP Revista de lepidopterología. 2021(3). 142–163. 26 indexed citations

Das, Ranjan, et al.. (2021). Estimation of Perceived Stress among Doctors in a Peripheral Tertiary Government Medical College of West Bengal: A Cross-sectional Study. JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH. 1 indexed citations

10.

Mukherjee, Sumit, et al.. (2021). Role of Cartridge Based Nucleic Acid Amplification Testing in Diagnosis of Extrapulmonary Tuberculosis- Experience from a Teaching Institution in Eastern India. International Journal of Current Research and Review. 13(6). 42–47. 3 indexed citations

11.

Mukherjee, Sumit, Christoph Preuß, Suman Jayadev, et al.. (2020). Molecular estimation of neurodegeneration pseudotime in older brains. Nature Communications. 11(1). 5781–5781. 31 indexed citations

12.

Mukherjee, Sumit, et al.. (2020). Using internet search trends to forecast short term drug overdose deaths: A case study on Connecticut. 1332–1339. 2 indexed citations

13.

Mukherjee, Sumit, Thanneer M. Perumal, Kenneth Daily, et al.. (2019). Identifying and ranking potential driver genes of Alzheimer’s disease using multiview evidence aggregation. Bioinformatics. 35(14). i568–i576. 13 indexed citations

14.

Mukherjee, Sumit, et al.. (2019). Protecting GANs against privacy attacks by preventing overfitting.. arXiv (Cornell University). 2 indexed citations

15.

Mukherjee, Sumit, Alberto Carignano, Georg Seelig, & Su‐In Lee. (2018). Identifying progressive gene network perturbation from single-cell RNA-seq data. PubMed. 2018. 5034–5040. 6 indexed citations

16.

Mukherjee, Sumit, et al.. (2018). Scalable preprocessing for sparse scRNA-seq data exploiting prior knowledge. Bioinformatics. 34(13). i124–i132. 17 indexed citations

17.

Mukherjee, Sumit, et al.. (2018). Extrinsic Noise Suppression in Micro RNA Mediated Incoherent Feedforward Loops. 4353–4359. 8 indexed citations

18.

Rosenberg, Alexander, Charles M. Roco, Richard A. Muscat, et al.. (2018). Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding. Science. 360(6385). 176–182. 877 indexed citations breakdown →

19.

Wen, John T., et al.. (2013). Building temperature control with adaptive feedforward. 4827–4832. 16 indexed citations

20.

Mukherjee, Sumit, Sandipan Mishra, & John T. Wen. (2012). Building temperature control: A passivity-based approach. 6902–6907. 36 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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