John Slavin

4.5k citations
80 papers · 3.7k · h-index 32

Impact in

Papers in

John Slavin

77 papers receiving 3.6k citations

Peers

John Slavin
Comparison fields: 5 of 112
  • Hepatology 292
  • Oncology 944
  • Rheumatology 397
  • Pulmonary and Respiratory Medicine 732
  • Epidemiology 670
Replace Takahiro Nakamura with:
Takahiro Nakamura Japan
Frank Kullmann Germany
Sebastian Huss Germany
Hideaki Enzan Japan
Yoshiaki Inayama Japan
Yukichi Tanaka Japan
Guido Coggi Italy
Akio Saiura Japan
Maria A. Pantaleo Italy
David R. Brigstock United States
John Slavin relative to Takahiro Nakamura Japan Takahiro Nakamura's profile →
Citations per field
00.5×1.7×
Takahiro Nakamura · 1×
Citations per year

Countries citing papers authored by John Slavin

Since Specialization
Citations

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

Fields of papers citing papers by John Slavin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000456
2 2010361
3 1999348
4 2009233
5 2004188
6 2003155
7 2002141
8 1998124
9 2005107
10 2005107
11 2006102
12 200588
13 199482
14
Spontaneous large volume adipose tissue generation from a vascularized pedicled fat flap inside a chamber space
200779
15 200376
16 200665
17 201365
18 201957
19 201646
20 200942

About John Slavin

John Slavin is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Rheumatology, Surgery and Molecular Biology, having authored 80 papers that have together received 3.7k indexed citations. Recurring topics across this work include Sarcoma Diagnosis and Treatment (25 papers), Bone Tumor Diagnosis and Treatments (14 papers), Bone health and treatments (11 papers), Soft tissue tumor case studies (5 papers), Vascular Tumors and Angiosarcomas (5 papers), Hepatitis B Virus Studies (4 papers), Cardiac tumors and thrombi (4 papers) and Cancer Diagnosis and Treatment (4 papers). The work is most often cited by research in Hepatology (292 citations), Oncology (944 citations), Rheumatology (397 citations), Pulmonary and Respiratory Medicine (732 citations) and Epidemiology (670 citations). John Slavin has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Peter Choong, Paul Desmond, John P. Neoptolemos, Madhav Bhatia, Mark Brady, Sheila Shokuhi, Stephen E. Christmas, Elizabeth D. Williams, James D. Best and M Congiu. Their work appears in journals such as ANZ Journal of Surgery, Pathology, Cancer Research, The Journal of Pathology and Liver International.

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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