Tapsi Kumar

6.1k total citations · 1 hit paper
8 papers, 496 citations indexed

About

Tapsi Kumar is a scholar working on Cancer Research, Oncology and Molecular Biology. According to data from OpenAlex, Tapsi Kumar has authored 8 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 4 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in Tapsi Kumar's work include Cancer Genomics and Diagnostics (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Single-cell and spatial transcriptomics (2 papers). Tapsi Kumar is often cited by papers focused on Cancer Genomics and Diagnostics (4 papers), Cancer Immunotherapy and Biomarkers (3 papers) and Single-cell and spatial transcriptomics (2 papers). Tapsi Kumar collaborates with scholars based in United States, United Kingdom and India. Tapsi Kumar's co-authors include Nicholas E. Navin, Fang Wang, Ken Chen, Aislyn Schalck, Emi Sei, Shanshan Bai, Min Hu, Jennifer Wang, Alexander Davis and Ying C. Henderson and has published in prestigious journals such as Journal of Clinical Oncology, Nature Biotechnology and Cancer Research.

In The Last Decade

Tapsi Kumar

7 papers receiving 491 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.

Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes

2021 413 citations Ruli Gao, Shanshan Bai et al. Nature Biotechnology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tapsi Kumar United States	5	342	227	183	127	94	8	496
Isabel Zudaire Spain	13	254 0.7×	125 0.6×	135 0.7×	78 0.6×	83 0.9×	29	454
Bianca D. Capaldo Australia	7	344 1.0×	176 0.8×	308 1.7×	105 0.8×	74 0.8×	9	577
Anna S. Nam United States	10	274 0.8×	165 0.7×	112 0.6×	141 1.1×	33 0.4×	17	565
Sara Corvigno United States	13	226 0.7×	146 0.6×	228 1.2×	74 0.6×	67 0.7×	37	466
Steffen Dickopf Germany	6	276 0.8×	175 0.8×	218 1.2×	63 0.5×	51 0.5×	9	459
Stella Lam United States	8	350 1.0×	238 1.0×	377 2.1×	223 1.8×	48 0.5×	10	689
Anie Monast Canada	10	290 0.8×	97 0.4×	189 1.0×	190 1.5×	52 0.6×	10	566
Karina Petat‐Dutter Germany	5	199 0.6×	128 0.6×	130 0.7×	182 1.4×	53 0.6×	9	449
Chi-Yeh Chung United States	7	471 1.4×	195 0.9×	292 1.6×	66 0.5×	66 0.7×	7	655

Countries citing papers authored by Tapsi Kumar

Since Specialization

Citations

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

Fields of papers citing papers by Tapsi Kumar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tapsi Kumar

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

All Works

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8 of 8 papers shown

1.

Kumar, Tapsi, et al.. (2025). Metamaterial cavity based EBG loaded THz breast and skin cancer biosensor with high Q-factor. Microsystem Technologies. 31(9). 2279–2289.

2.

Kumar, Tapsi, Fei Yang, Jeffrey T. Chang, et al.. (2022). Tumor Immune Microenvironment Changes by Multiplex Immunofluorescence Staining in a Pilot Study of Neoadjuvant Talazoparib for Early-Stage Breast Cancer Patients with a Hereditary BRCA Mutation. Clinical Cancer Research. 28(17). 3669–3676. 8 indexed citations

3.

Schalck, Aislyn, Donastas Sakellariou-Thompson, Marie‐Andrée Forget, et al.. (2022). Single-Cell Sequencing Reveals Trajectory of Tumor-Infiltrating Lymphocyte States in Pancreatic Cancer. Cancer Discovery. 12(10). 2330–2349. 44 indexed citations

4.

Gao, Ruli, Shanshan Bai, Ying C. Henderson, et al.. (2021). Delineating copy number and clonal substructure in human tumors from single-cell transcriptomes. Nature Biotechnology. 39(5). 599–608. 413 indexed citations breakdown →

5.

Shah, Vandna, Carolina Salinas-Souza, Tapsi Kumar, et al.. (2020). Abstract P4-07-04: Genomic analysis of paired DCIS and subsequent recurrence to assess clonal relatedness in screen detected DCIS. Cancer Research. 80(4_Supplement). P4–7. 3 indexed citations

6.

Wang, Fang, Shaoheng Liang, Tapsi Kumar, Nicholas E. Navin, & Ken Chen. (2019). SCMarker: Ab initio marker selection for single cell transcriptome profiling. PLoS Computational Biology. 15(10). e1007445–e1007445. 23 indexed citations

7.

Yang, Fei, Tapsi Kumar, Alejandro Contreras, et al.. (2019). Tumor immune microenvironment (TiME) changes by multiplex IF staining in a pilot study of neoadjuvant talazoparib for early-stage breast cancer patients with a BRCA mutation.. Journal of Clinical Oncology. 37(15_suppl). 585–585. 1 indexed citations

8.

Kumar, Tapsi, et al.. (1992). Which women prefer which treatment for breast cancer. The Breast. 1(4). 193–195. 4 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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