Ankur Saxena

38 papers receiving 1.7k citations

Ankur Saxena's Hit Papers

Rapid adaptive optical recovery of optimal resolution over large volumes 2014 · 199 citations
1990+7+14Years since publication100200300400500

Peers

Ankur Saxena
Comparison fields: 5 of 115
  • Biophysics 172
  • Acoustics and Ultrasonics 25
  • Cell Biology 369
  • Immunology and Allergy 104
  • Developmental Neuroscience 59
Replace Ivan V. Maly with:
Ivan V. Maly United States
Chester E. Chamberlain United States
Jury M. Vasiliev Russia
Michinori Toriyama Japan
Shusaku Kurisu Japan
María Victoria Gómez‐Gaviro Spain
Michael Chen United States
Ralph T. Böttcher Germany
Paul J. Sammak United States
Dietmar Gradl Germany
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Citations per field
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Citations per year

Countries citing papers authored by Ankur Saxena

Since Specialization
Citations

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

Fields of papers citing papers by Ankur Saxena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Thymosin β4 activates integrin-linked kinase and promotes cardiac cell migration, survival and cardiac repair
Hit paper breakdown →
2004540
2 2008201
3
Rapid adaptive optical recovery of optimal resolution over large volumes
Hit paper breakdown →
2014199
4 2013133
5 2004104
6 2006101
7 201191
8 200989
9 201446
10 201740
11 200739
12 201338
13 200221
14 201619
15 200916
16 201813
17 201312
18 20168
19 20178
20 20227

About Ankur Saxena

Ankur Saxena is a scholar working on Molecular Biology, Surgery, Neurology, Cell Biology and Rheumatology, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (6 papers), Congenital heart defects research (5 papers), Olfactory and Sensory Function Studies (3 papers), Lysosomal Storage Disorders Research (3 papers), Glycogen Storage Diseases and Myoclonus (3 papers), Neurosurgical Procedures and Complications (2 papers), Neuroblastoma Research and Treatments (2 papers) and Infectious Diseases and Tuberculosis (2 papers). The work is most often cited by research in Biophysics (172 citations), Acoustics and Ultrasonics (25 citations), Cell Biology (369 citations), Immunology and Allergy (104 citations) and Developmental Neuroscience (59 citations). Ankur Saxena has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include J. Michael DiMaio, Michael White, Deepak P. Srivastava, Ildikó Bock-Marquette, Marianne Bronner‐Fraser, Clifford J. Tabin, Crystal D. Rogers, Deepak Srivastava, James W. Smyth and Sangho Yu. Their work appears in journals such as Developmental Biology, Developmental Cell, The FASEB Journal, Energy Technology and Mechanisms of Development.

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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