Nancy L. Kuntz

13.1k citations
102 papers · 3.5k indexed · 1 hit paper · h-index 28
Topics
Neurogenetic and Muscular Disorders Research (36 papers)Muscle Physiology and Disorders (22 papers)Multiple Sclerosis Research Studies (14 papers)
Journals
Journal of Clinical InvestigationSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Nancy L. Kuntz

93 papers receiving 3.4k citations

Hit Papers

International consensus guidance for management of myasth...20162026201920222016200400600

Peers

Nancy L. Kuntz
Comparison fields: 5 of 112
  • Neurology 1.9k
  • Pathology and Forensic Medicine 794
  • Molecular Biology 740
  • Surgery 541
  • Genetics 521
Replace Bruno Giometto with:
Bruno Giometto Italy
Laurent Magy France
Michael Nicolle Canada
E. Niks Netherlands
David S. Younger United States
Raffaele Iorio Italy
Catherine Lacroix France
Ted M. Burns United States
David Hunt United Kingdom
F. Cornelio Italy
Nancy L. Kuntz relative to Bruno Giometto Italy Bruno Giometto's profile →
Citations per field
00.5×3.7×
Bruno Giometto · 1×
Citations per year

Countries citing papers authored by Nancy L. Kuntz

Since Specialization
Citations

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

Fields of papers citing papers by Nancy L. Kuntz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy L. Kuntz. 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 Nancy L. Kuntz. The network helps show where Nancy L. Kuntz may publish in the future.

Co-authorship network of co-authors of Nancy L. Kuntz

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy L. Kuntz. A scholar is included among the top collaborators of Nancy L. Kuntz 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 Nancy L. Kuntz. Nancy L. Kuntz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 1
4 9
5 1
6 2
7 4
8 25
9 11
10 143
11 0
12
INTERNATIONAL CONSENSUS GUIDANCE FOR THE MANAGEMENT OF MYASTHENIA GRAVIS
0
13
International consensus guidance for management of myasthenia gravisbreakdown →
710
14 22
15 5
16 13
17 64
18 21
19 87
20 2

About Nancy L. Kuntz

Nancy L. Kuntz is a scholar working on Genetics, Neurology and Pathology and Forensic Medicine, having authored 102 papers that have together received 3.5k indexed citations. Recurring topics across this work include Neurogenetic and Muscular Disorders Research (36 papers), Muscle Physiology and Disorders (22 papers) and Multiple Sclerosis Research Studies (14 papers). The work is most often cited by research in Neurology (1.9k citations), Genetics (521 citations) and Pathology and Forensic Medicine (794 citations). Nancy L. Kuntz has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Donald B. Sanders, Pushpa Narayanaswami, David P. Richman, Michael Benatar, Jacqueline Palace, Nils Erik Gilhus, Hiroyuki Murai, Arthur Melms, Isabel Illa and Janice M. Massey. Their work appears in journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología 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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