Marc C. Chamberlain

867 citations
10 papers · 702 · h-index 10

Impact in

Papers in

Marc C. Chamberlain

10 papers receiving 650 citations

Peers

Marc C. Chamberlain
Comparison fields: 5 of 60
  • Genetics 337
  • Pulmonary and Respiratory Medicine 361
  • Oncology 201
  • Neurology 104
  • Pathology and Forensic Medicine 49
Replace Patricia K. Sneed with:
Patricia K. Sneed United States
Indro Chakrabarti United States
Stephen W. Clark United States
Francesca Vastola Italy
Kwan H. Cho United States
Sue Ellen Young United States
Chad Winch Canada
Katrina H. Smith United States
Erin L. Twohy United States
Kelly L. Barton United States
Marc C. Chamberlain relative to Patricia K. Sneed United States Patricia K. Sneed's profile →
Citations per field
00.5×1.7×
Patricia K. Sneed · 1×
Citations per year

Countries citing papers authored by Marc C. Chamberlain

Since Specialization
Citations

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

Fields of papers citing papers by Marc C. Chamberlain

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marc C. Chamberlain. 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 Marc C. Chamberlain. The network helps show where Marc C. Chamberlain may publish in the future.

Co-authors

The 6 scholars most cited alongside Marc C. Chamberlain, 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 Marc C. Chamberlain Line = papers co-authored together Marc C. Chamberlain links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2013156
2 1996136
3 199787
4 199385
5 199965
6 199955
7 199747
8 199941
9 199120
10 201510

About Marc C. Chamberlain

Marc C. Chamberlain is a scholar working on Genetics, Pulmonary and Respiratory Medicine, Neurology, Cellular and Molecular Neuroscience and Psychiatry and Mental health, having authored 10 papers that have together received 702 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (6 papers), Brain Metastases and Treatment (6 papers), Cerebrospinal fluid and hydrocephalus (2 papers), Electroconvulsive Therapy Studies (1 paper), Inflammatory Myopathies and Dermatomyositis (1 paper), Muscle and Compartmental Disorders (1 paper), Lung Cancer Research Studies (1 paper) and CNS Lymphoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (337 citations), Pulmonary and Respiratory Medicine (361 citations), Oncology (201 citations), Neurology (104 citations) and Pathology and Forensic Medicine (49 citations). Marc C. Chamberlain has collaborated with scholars based in United States and France. Frequent co-authors include Patty A. Kormanik, Thomas Boulanger, Fahed Zaïri, Jacques M Bonneterre, Emilie Le Rhun and Sophie Taillibert. Their work appears in journals such as Journal of Neuro-Oncology, Pediatric Neurology, Journal of the National Comprehensive Cancer Network, Neurology and Case Reports in Oncology.

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.

Explore authors with similar magnitude of impact