Garima Sinha

864 citations
23 papers · 668 · h-index 12

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Genetics top 10%
    • Mesenchymal stem cell research

Papers in

    • Extracellular vesicles in disease 5
    • Circular RNAs in diseases 3
    • Connexins and lens biology 3
    • Epigenetics and DNA Methylation 2
    • Cancer Cells and Metastasis 9

Garima Sinha

23 papers receiving 660 citations

Peers

Garima Sinha
Comparison fields: 5 of 64
  • Cancer Research 335
  • Genetics 106
  • Oncology 199
  • Molecular Biology 436
  • Hematology 33
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Josep Roma Spain
Marja-Liisa Karjalainen-Lindsberg Finland
Sing J. Ou France
Mark D. Hjelmeland United States
Kristina Kapinas United States
Michael Gerg Germany
Barbara Zagatti Italy
Sarah Ridge Ireland
Jason McCormick United States
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Citations per field
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Citations per year

Countries citing papers authored by Garima Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Garima Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Garima Sinha, 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 Garima Sinha Line = papers co-authored together Garima Sinha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016314
2 202182
3 201539
4 201535
5 199734
6 201828
7 201924
8 201821
9 201316
10 202015
11 202113
12 201711
13 20249
14 20207
15 20216
16 20164
17 20232
18 20162
19 20152
20 20141

About Garima Sinha

Garima Sinha is a scholar working on Molecular Biology, Oncology, Cancer Research, Genetics and Immunology, having authored 23 papers that have together received 668 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (9 papers), MicroRNA in disease regulation (5 papers), Mesenchymal stem cell research (5 papers), Extracellular vesicles in disease (5 papers), Circular RNAs in diseases (3 papers), Connexins and lens biology (3 papers), Epigenetics and DNA Methylation (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). The work is most often cited by research in Cancer Research (335 citations), Genetics (106 citations), Oncology (199 citations), Molecular Biology (436 citations) and Hematology (33 citations). Garima Sinha has collaborated with scholars based in United States, India and Netherlands. Frequent co-authors include Pranela Rameshwar, Steven J. Greco, Oleta A. Sandiford, Margarette Bryan, Khadidiatou Guiro, Nicholas M. Ponzio, Rakesh Kumar, Seda Ayer, Sarah A. Bliss and Daniel J. Engelberth. Their work appears in journals such as Cancer Letters, Aging, Cancer Research, Scientific Reports and Lara D. Veeken.

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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