Brian Weiss

6.0k citations
69 papers · 1.5k · h-index 22

Impact in

  • Neurology top 1%
    • Neuroblastoma Research and Treatments
    • Neurofibromatosis and Schwannoma Cases
  • Genetics top 5%
    • Glioma Diagnosis and Treatment

Papers in

    • Neuroblastoma Research and Treatments 37
    • Neurofibromatosis and Schwannoma Cases 14
    • Adrenal and Paraganglionic Tumors 6

Brian Weiss

64 papers receiving 1.5k citations

Peers

Brian Weiss
Comparison fields: 5 of 93
  • Neurology 759
  • Genetics 160
  • Cancer Research 201
  • Hematology 114
  • Transplantation 25
Replace M. Fevzi Özkaynak with:
M. Fevzi Özkaynak United States
Jos P.M. Bökkerink Netherlands
Renato Mastrangelo Italy
Alexander Claviez Germany
L. S. Lashford United Kingdom
Richard Kadota United States
Louise Galmiche France
Piotr Czauderna Poland
Carl Lenarsky United States
Nadège Corradini France
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Citations per field
00.5×1.5×2.3×
M. Fevzi Özkaynak · 1×
Citations per year

Countries citing papers authored by Brian Weiss

Since Specialization
Citations

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

Fields of papers citing papers by Brian Weiss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016116
2 1999103
3 2014100
4 200887
5 201686
6 201364
7 201563
8 201461
9 200352
10 202351
11 201346
12 201244
13 200943
14 201941
15 201837
16 200637
17 201232
18 201831
19 201430
20 201326

About Brian Weiss

Brian Weiss is a scholar working on Neurology, Surgery, Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (37 papers), Neurofibromatosis and Schwannoma Cases (14 papers), Cancer, Hypoxia, and Metabolism (9 papers), Adrenal and Paraganglionic Tumors (6 papers), Sarcoma Diagnosis and Treatment (6 papers), Lung Cancer Research Studies (5 papers), Neuroendocrine Tumor Research Advances (5 papers) and Lung Cancer Treatments and Mutations (5 papers). The work is most often cited by research in Neurology (759 citations), Genetics (160 citations), Cancer Research (201 citations), Hematology (114 citations) and Transplantation (25 citations). Brian Weiss has collaborated with scholars based in United States, Canada and Switzerland. Frequent co-authors include Kevin Shannon, Andrew T. Trout, Gideon Bollag, Susan E. Sharp, Michael J. Gelfand, Michael J. Fisher, Brigitte C. Widemann, Katherine K. Matthay, Eva Dombi and Todd M. Cooper. Their work appears in journals such as Pediatric Blood & Cancer, Journal of Clinical Oncology, Neuro-Oncology, Journal of Pediatric Hematology/Oncology and Antimicrobial Agents and Chemotherapy.

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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