Robert Wolff

13.3k citations
96 papers · 6.6k indexed · 4 hit papers · h-index 27

Robert Wolff

93 papers receiving 6.4k citations

Hit Papers

PROBAST: A Tool to Assess Risk of Bias and Applicability ...93920152026201820224008001.2k

Peers

Robert Wolff
Comparison fields: 5 of 176
  • Health Informatics 302
  • Pharmacology 1.5k
  • Toxicology 179
  • Hepatology 366
  • Statistics, Probability and Uncertainty 285
Replace Alfonso Iorio with:
Alfonso Iorio Canada
Tzeng‐Ji Chen Taiwan
Cynthia Brandt United States
Huiman X. Barnhart United States
Susan Mallett United Kingdom
Jeroen G. Lijmer Netherlands
Lucas M. Bachmann Switzerland
Melanie Calvert United Kingdom
Rob Scholten Netherlands
Martin Hellmich Germany
Robert Wolff relative to Alfonso Iorio Canada Alfonso Iorio's profile →
Citations per field
00.5×3.6×
Alfonso Iorio · 1×
Citations per year

Countries citing papers authored by Robert Wolff

Since Specialization
Citations

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

Fields of papers citing papers by Robert Wolff

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20232
4 202219
5 202210
6 20221
7 20221
8 202010
9 20205
10 20175
11
Cannabinoids for Medical Usebreakdown →
20151492
12 201438
13 201248
14 20119
15 201125
16 20113
17 201045
18 20093
19 200417
20 200412

About Robert Wolff

Robert Wolff is a scholar working on Medical Terminology, Statistics, Probability and Uncertainty and Hepatology, having authored 96 papers that have together received 6.6k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (14 papers), Meta-analysis and systematic reviews (13 papers), Brain Metastases and Treatment (12 papers), Health Systems, Economic Evaluations, Quality of Life (11 papers), Glioma Diagnosis and Treatment (10 papers), Lung Cancer Treatments and Mutations (9 papers), Pancreatic and Hepatic Oncology Research (8 papers) and Meningioma and schwannoma management (6 papers). The work is most often cited by research in Health Informatics (302 citations), Pharmacology (1.5k citations) and Toxicology (179 citations). Robert Wolff has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Jos Kleijnen, Penny Whiting, Susan Mallett, Karel G.M. Moons, Richard D Riley, Gary S. Collins, Johannes B. Reitsma, Kate Misso, Adrían V. Hernández and Steven Duffy. Their work appears in journals such as Cochrane Database of Systematic Reviews, PharmacoEconomics, Acta Neurochirurgica, Journal of neurosurgery 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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