Nisha M. Badders

2.0k citations
10 papers · 1.5k indexed · 2 hit papers · h-index 9
Topics
Neurogenetic and Muscular Disorders Research (4 papers)Genetic Neurodegenerative Diseases (4 papers)Muscle Physiology and Disorders (3 papers)

In The Last Decade

Nisha M. Badders

10 papers receiving 1.5k citations

Hit Papers

GGGGCC repeat expansion in C9orf72 compromises nucleocyto...201420262018202220152014200400600

Peers

Nisha M. Badders
Comparison fields: 5 of 79
  • Molecular Biology 989
  • Neurology 761
  • Genetics 542
  • Cellular and Molecular Neuroscience 275
  • Oncology 133
Replace Yohei Iguchi with:
Yohei Iguchi Japan
Ewout J. N. Groen Netherlands
Brett J Winborn United States
Ana Jovičić United States
K. Rosanna United States
Andrea D’Ambrogio Italy
Dairín Kieran United Kingdom
Nicholas J. Kramer United States
Kevin Drenner United States
Nicole Hersmus Belgium
Nisha M. Badders relative to Yohei Iguchi Japan Yohei Iguchi's profile →
Citations per field
00.5×1.5×2.1×
Yohei Iguchi · 1×
Citations per year

Countries citing papers authored by Nisha M. Badders

Since Specialization
Citations

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

Fields of papers citing papers by Nisha M. Badders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nisha M. Badders. 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 Nisha M. Badders. The network helps show where Nisha M. Badders may publish in the future.

Co-authorship network of co-authors of Nisha M. Badders

This figure shows the co-authorship network connecting the top 25 collaborators of Nisha M. Badders. A scholar is included among the top collaborators of Nisha M. Badders based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nisha M. Badders. Nisha M. Badders is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 57
2 9
3
GGGGCC repeat expansion in C9orf72 compromises nucleocytoplasmic transportbreakdown →
600
4 84
5
Axonal Transport of TDP-43 mRNA Granules Is Impaired by ALS-Causing Mutationsbreakdown →
497
6 11
7 69
8 48
9 106
10 4

About Nisha M. Badders

Nisha M. Badders is a scholar working on Genetics, Cellular and Molecular Neuroscience and Neurology, having authored 10 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Muscle Physiology and Disorders (3 papers). The work is most often cited by research in Genetics (542 citations), Neurology (761 citations) and Cellular and Molecular Neuroscience (275 citations). Nisha M. Badders has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include J. Paul Taylor, Brian D. Freibaum, Fen‐Biao Gao, Leonard Petrucelli, Hong Joo Kim, Kyung‐Ha Lee, Yubing Lu, Nam Chul Kim, Sandra Almeida and Philip C. Wong. Their work appears in journals such as Nature, Neuron and PLoS ONE.

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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