Ankit Kumar Sinha

4.2k citations
46 papers · 3.1k · 2 hit papers · h-index 25

Impact in

Papers in

    • Advanced Proteomics Techniques and Applications 9
    • Extracellular vesicles in disease 6
    • RNA Interference and Gene Delivery 4
    • Epigenetics and DNA Methylation 3

Ankit Kumar Sinha

44 papers receiving 3.1k citations

Ankit Kumar Sinha's Hit Papers

Spatial proteomics identifies JAKi as treatment for a lethal skin disease 2024 · 77 citations
770+1+3Years since publication2505007501000

Peers

Ankit Kumar Sinha
Comparison fields: 5 of 127
  • Hepatology 476
  • Cancer Research 570
  • Oncology 451
  • Molecular Biology 1.2k
  • Spectroscopy 261
Replace Chao Ge with:
Chao Ge China
Kenji Nagata Japan
Jin Bai China
Erik N. K. Cressman United States
Partha Sarathi Roy United States
Qiming Zhang China
Zhenli Li China
Ricky T. Tong United States
Michele Caruso Italy
Sina Y. Rabbany United States
Ankit Kumar Sinha relative to Chao Ge China Chao Ge's profile →
Citations per field
00.5×5×10×14.5×
Chao Ge · 1×
Citations per year

Countries citing papers authored by Ankit Kumar Sinha

Since Specialization
Citations

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

Fields of papers citing papers by Ankit Kumar Sinha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1
NASH limits anti-tumour surveillance in immunotherapy-treated HCC
Hit paper breakdown →
20211006
2 2009310
3 2019186
4 2013141
5 2017119
6 2017113
7 2014111
8 2016108
9 2014107
10 2013103
11 201878
12
Spatial proteomics identifies JAKi as treatment for a lethal skin disease
Hit paper breakdown →
202477
13 202059
14 201953
15 201647
16 201741
17 201333
18 201931
19 201931
20 201730

About Ankit Kumar Sinha

Ankit Kumar Sinha is a scholar working on Spectroscopy, Molecular Biology, Cancer Research, Immunology and Genetics, having authored 46 papers that have together received 3.1k indexed citations. Recurring topics across this work include Advanced Proteomics Techniques and Applications (9 papers), Extracellular vesicles in disease (6 papers), RNA Interference and Gene Delivery (4 papers), Cancer Cells and Metastasis (3 papers), Cancer-related molecular mechanisms research (3 papers), Epigenetics and DNA Methylation (3 papers), MicroRNA in disease regulation (3 papers) and Prostate Cancer Treatment and Research (2 papers). The work is most often cited by research in Hepatology (476 citations), Cancer Research (570 citations), Oncology (451 citations), Molecular Biology (1.2k citations) and Spectroscopy (261 citations). Ankit Kumar Sinha has collaborated with scholars based in Canada, Germany and United States. Frequent co-authors include Thomas Kislinger, Jayant Kumar Singh, Goutam Deo, Sudhir Kumar Singh, Alexandr Ignatchenko, Vladimir Ignatchenko, Javier A. Alfaro, Paul Christopher Boutros, Simona Principe and Salvador Mejia‐Guerrero. Their work appears in journals such as PROTEOMICS, Cancer Cell, Nature Communications, The Journal of Cell Biology and Nature Cell Biology.

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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