Anuja Mishra

402 citations
28 papers · 284 · h-index 8

Impact in

Papers in

Anuja Mishra

19 papers receiving 283 citations

Peers

Anuja Mishra
Comparison fields: 5 of 74
  • Developmental Neuroscience 31
  • Genetics 27
  • Molecular Biology 168
  • Neurology 14
  • Cellular and Molecular Neuroscience 31
Replace Zhicheng Shao with:
Zhicheng Shao China
Yacine Touahri Canada
Lucia Boeri Italy
Hae-Jun Yang South Korea
Alison Venable United States
Jebecka Hudak United States
Ran Shibukawa Japan
Junghyun Jung South Korea
Anuja Mishra relative to Zhicheng Shao China Zhicheng Shao's profile →
Citations per field
00.5×5.8×
Zhicheng Shao · 1×
Citations per year

Countries citing papers authored by Anuja Mishra

Since Specialization
Citations

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

Fields of papers citing papers by Anuja Mishra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201097
2 201869
3 201225
4 200916
5 202315
6 201512
7 201411
8 201310
9 20225
10 20244
11 20234
12 20194
13 20173
14 20233
15
Transdermal Immunization: A Recent Tool for Immunization
20102
16 20241
17 20251
18 20261
19 20111
20 20250

About Anuja Mishra

Anuja Mishra is a scholar working on Molecular Biology, Biomedical Engineering, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 28 papers that have together received 284 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (7 papers), 3D Printing in Biomedical Research (5 papers), Renal and related cancers (2 papers), Microbial bioremediation and biosurfactants (2 papers), Neuroscience and Neural Engineering (2 papers), Phytochemicals and Antioxidant Activities (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Developmental Neuroscience (31 citations), Genetics (27 citations), Molecular Biology (168 citations), Neurology (14 citations) and Cellular and Molecular Neuroscience (31 citations). Anuja Mishra has collaborated with scholars based in India, United States and China. Frequent co-authors include Peter J. Hornsby, Suzette D. Tardif, Yuehong Wu, Yong Zhang, Zhifang Qiu, Alvaro Moreira, Binil Starly, Sarmistha Saha, Kaur Kaur and Miao Li. Their work appears in journals such as Current Molecular Medicine, Stem Cell Research, Experimental Biology and Medicine, Ageing Research Reviews and Cell Transplantation.

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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