Parveen Kumar

77 papers receiving 2.5k citations

Parveen Kumar's Hit Papers

Single-cell analysis of human glioma and immune cells identifies S100A4 as an immunotherapy target 2022 · 268 citations
2680+3+7Years since publication100200300400500

Peers

Parveen Kumar
Comparison fields: 5 of 125
  • Cancer Research 388
  • Infectious Diseases 433
  • Pediatrics, Perinatology and Child Health 320
  • Molecular Biology 1.2k
  • Biophysics 85
Replace Eleni Giannoulatou with:
Eleni Giannoulatou Australia
Eric D. Chow United States
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Gina L. Costa United States
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Citations per field
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Citations per year

Countries citing papers authored by Parveen Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Parveen Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Parveen Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Parveen Kumar Line = papers co-authored together Parveen Kumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
G&T-seq: parallel sequencing of single-cell genomes and transcriptomes
Hit paper breakdown →
2015536
2
Mouse model of chromosome mosaicism reveals lineage-specific depletion of aneuploid cells and normal developmental potential
Hit paper breakdown →
2016329
3
Single-cell analysis of human glioma and immune cells identifies S100A4 as an immunotherapy target
Hit paper breakdown →
2022268
4 2014119
5 2016110
6 1990103
7 201588
8 199768
9 201163
10 201361
11 201749
12 201548
13 201347
14 201639
15 201539
16 201137
17 201332
18 201329
19 201127
20 201727

About Parveen Kumar

Parveen Kumar is a scholar working on Molecular Biology, Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology and Genetics, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (17 papers), Reproductive Biology and Fertility (11 papers), Mycobacterium research and diagnosis (10 papers), Single-cell and spatial transcriptomics (6 papers), Infectious Diseases and Tuberculosis (5 papers), Cancer Genomics and Diagnostics (5 papers), Prenatal Screening and Diagnostics (4 papers) and Livestock Management and Performance Improvement (4 papers). The work is most often cited by research in Cancer Research (388 citations), Infectious Diseases (433 citations), Pediatrics, Perinatology and Child Health (320 citations), Molecular Biology (1.2k citations) and Biophysics (85 citations). Parveen Kumar has collaborated with scholars based in India, Belgium and United Kingdom. Frequent co-authors include Thierry Voet, Sarman Singh, Niels van der Aa, Magdalena Zernicka‐Goetz, R. Marks, Koen Theunis, Amit Singh, Wilfried Haerty, Chris P. Ponting and Mabel Teng. Their work appears in journals such as Nucleic Acids Research, British Journal of Dermatology, Theriogenology, Nature Communications and Journal of Infection.

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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