Carson A. Wills

851 citations
14 papers · 647 · h-index 8

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
  • Epidemiology top 10%
    • Autophagy in Disease and Therapy

Papers in

    • Extracellular vesicles in disease 4
    • Cell death mechanisms and regulation 2
    • Connexins and lens biology 1
    • Autophagy in Disease and Therapy 4

Carson A. Wills

12 papers receiving 642 citations

Peers

Carson A. Wills
Comparison fields: 5 of 73
  • Physiology 61
  • Epidemiology 354
  • Cell Biology 156
  • Cancer Research 127
  • Molecular Biology 325
Replace Longgui Chen with:
Longgui Chen United States
Laura Rodríguez de la Ballina Norway
Melat T. Gebru United States
Carolyn Kemp United States
Marion Leduc France
Caisheng Lu United States
Vincent Klump United States
Gary Kasof United States
Nader Omidvar United Kingdom
Saurabh V. Laddha United States
Carson A. Wills relative to Longgui Chen United States Longgui Chen's profile →
Citations per field
00.5×1.6×
Longgui Chen · 1×
Citations per year

Countries citing papers authored by Carson A. Wills

Since Specialization
Citations

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

Fields of papers citing papers by Carson A. Wills

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carson A. Wills. 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 Carson A. Wills. The network helps show where Carson A. Wills may publish in the future.

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018263
2 2018164
3 201859
4 202054
5 202234
6 201633
7 202022
8 20207
9 20234
10 20222
11 20212
12
CHEMOTHERAPY STUDIES ON PRIMARY TUMOR GRAFTS AND METASTASES IN HAMSTERS AND MICE.
19642
13 20241
14 20250

About Carson A. Wills

Carson A. Wills is a scholar working on Molecular Biology, Epidemiology, Neurology, Immunology and Surgery, having authored 14 papers that have together received 647 indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (4 papers), Autophagy in Disease and Therapy (4 papers), Extracellular vesicles in disease (4 papers), Cell death mechanisms and regulation (2 papers), Cellular transport and secretion (2 papers), Bartonella species infections research (1 paper), Connexins and lens biology (1 paper) and Lysosomal Storage Disorders Research (1 paper). The work is most often cited by research in Physiology (61 citations), Epidemiology (354 citations), Cell Biology (156 citations), Cancer Research (127 citations) and Molecular Biology (325 citations). Carson A. Wills has collaborated with scholars based in United States and India. Frequent co-authors include Hong‐Gang Wang, Christopher M. Dower, Steven M. Frisch, Longgui Chen, Melat T. Gebru, Megan M. Young, Tatsuya Hattori, Zhenyuan Tang, Yoshinori Takahashi and Ying Liu. Their work appears in journals such as Molecular Cancer Therapeutics, Genes & Diseases, Frontiers in Cell and Developmental Biology, Nature Communications and Life Science Alliance.

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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