G. Matell

1.4k citations
41 papers · 1.1k · h-index 17

Impact in

Papers in

G. Matell

39 papers receiving 975 citations

Peers

G. Matell
Comparison fields: 5 of 115
  • Neurology 605
  • Anesthesiology and Pain Medicine 39
  • Emergency Medicine 62
  • Infectious Diseases 101
  • Critical Care and Intensive Care Medicine 27
Replace Herbert A. Berkoff with:
Herbert A. Berkoff United States
Robert Griebel Canada
Hongyu Tan China
Richard E. Brashear United States
Е. Levin Argentina
Lan Ni China
Pierre‐Louis Léger France
Chantal Depondt Belgium
Tom Cadoux‐Hudson United Kingdom
Yi‐Chen Lai United States
G. Matell relative to Herbert A. Berkoff United States Herbert A. Berkoff's profile →
Citations per field
00.5×7.0×
Herbert A. Berkoff · 1×
Citations per year

Countries citing papers authored by G. Matell

Since Specialization
Citations

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

Fields of papers citing papers by G. Matell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978283
2 1964113
3 196269
4 200265
5 199046
6 199444
7 200742
8 197335
9 197835
10 196133
11 198330
12 197628
13 196527
14 199126
15 199220
16 198319
17 197518
18
Myasthenia gravis: studies on HL-A antigens and lymphocyte subpopulations in patients with myasthenia gravis.
197516
19 198815
20 199311

About G. Matell

G. Matell is a scholar working on Neurology, Pulmonary and Respiratory Medicine, Oncology, Surgery and Pediatrics, Perinatology and Child Health, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (23 papers), Cancer Treatment and Pharmacology (6 papers), Respiratory Support and Mechanisms (6 papers), Parkinson's Disease and Spinal Disorders (4 papers), Peripheral Neuropathies and Disorders (4 papers), Adrenal Hormones and Disorders (4 papers), Hemodynamic Monitoring and Therapy (3 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Neurology (605 citations), Anesthesiology and Pain Medicine (39 citations), Emergency Medicine (62 citations), Infectious Diseases (101 citations) and Critical Care and Intensive Care Medicine (27 citations). G. Matell has collaborated with scholars based in Sweden, United States and Poland. Frequent co-authors include Ann Kari Lefvert, Ritva Pirskanen, Kurt Bergström, P. O. Osterman, C. M. Hesser, H. Bjurstedt, S. Baehrendtz, J. Brismar, Mats O. Beckman and P.‐O. Barr. Their work appears in journals such as Annals of the New York Academy of Sciences, Journal of Autoimmunity, Computer Methods and Programs in Biomedicine, Neurology and Journal of Neurology Neurosurgery & Psychiatry.

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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