Insha Ahmad

2.7k citations
12 papers · 1.9k indexed · 2 hit papers · h-index 11

Insha Ahmad

12 papers receiving 1.9k citations

Hit Papers

A regenerative approach to the treatment of multiple scle...4032009202620142020100200300400500

Peers

Insha Ahmad
Comparison fields: 5 of 110
  • Developmental Neuroscience 242
  • Molecular Biology 1.3k
  • Neurology 150
  • Radiology, Nuclear Medicine and Imaging 271
  • Immunology 197
Replace Noboru Ishiyama with:
Noboru Ishiyama Canada
Mario A. Moscarello Canada
Ingrid W. Caras United States
Rami N. Hannoush United States
Seiichi Uesugi Japan
Russell E. Martenson United States
Suzanna J. Horvath United States
Sylvie Lachkar France
William A. Barton United States
Insha Ahmad relative to Noboru Ishiyama Canada Noboru Ishiyama's profile →
Citations per field
00.5×4.0×
Noboru Ishiyama · 1×
Citations per year

Countries citing papers authored by Insha Ahmad

Since Specialization
Citations

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

Fields of papers citing papers by Insha Ahmad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

12 of 12 papers shown
#Work
1 202138
2 201820
3 2018264
4 201757
5 2016103
6 20168
7 2013177
8
A regenerative approach to the treatment of multiple sclerosisbreakdown →
2013403
9 2011112
10 2011182
11
An Enhanced System for Unnatural Amino Acid Mutagenesis in E. colibreakdown →
2009538
12 200942

About Insha Ahmad

Insha Ahmad is a scholar working on Developmental Neuroscience, Microbiology and Molecular Biology, having authored 12 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (5 papers), Chemical Synthesis and Analysis (4 papers), CAR-T cell therapy research (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Nanowire Synthesis and Applications (2 papers), Glycosylation and Glycoproteins Research (1 paper), RNA modifications and cancer (1 paper) and Skin and Cellular Biology Research (1 paper). The work is most often cited by research in Developmental Neuroscience (242 citations), Molecular Biology (1.3k citations) and Neurology (150 citations). Insha Ahmad has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Peter G. Schultz, Travis S. Young, Jun Yin, Luke L. Lairson, Douglas D. Young, Costas A. Lyssiotis, Michael J. Bollong, Glen Spraggon, Michael Jahnz and Hwayoung Yun. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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