D Verran

524 citations
26 papers · 408 indexed · h-index 13

Impact in

Papers in

    • Renal Transplantation Outcomes and Treatments 7
    • Liver Disease and Transplantation 15
    • Hepatocellular Carcinoma Treatment and Prognosis 2

D Verran

26 papers receiving 401 citations

Peers

D Verran
Comparison fields: 5 of 44
  • Hepatology 281
  • Transplantation 62
  • Surgery 324
  • Epidemiology 157
  • Internal Medicine 7
Replace G.S. Kim with:
G.S. Kim South Korea
Charles M. Miller United States
Hamid Nourmand United States
P. Baliga United States
Nagappan Kumar United Kingdom
F O Belzer United States
Gabriele Himmelreich Germany
J. Erhard Germany
Yehuda Raveh United States
Elena Mazza Italy
D Verran relative to G.S. Kim South Korea G.S. Kim's profile →
Citations per field
00.5×3.5×
G.S. Kim · 1×
Citations per year

Countries citing papers authored by D Verran

Since Specialization
Citations

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

Fields of papers citing papers by D Verran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200276
2 199949
3 200043
4 199825
5 200024
6 199822
7 200321
8 200018
9 200014
10 200514
11 199914
12 201012
13 200012
14
Impact of renal allograft implantation and immunosuppression on body composition using in vivo neutron activation analysis.
199211
15 199910
16 201510
17 20037
18 20006
19 19885
20 19984

About D Verran

D Verran is a scholar working on Transplantation, Hepatology, Surgery, Public Health, Environmental and Occupational Health and Immunology and Allergy, having authored 26 papers that have together received 408 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (15 papers), Liver Disease and Transplantation (15 papers), Renal Transplantation Outcomes and Treatments (7 papers), Transplantation: Methods and Outcomes (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Organ Donation and Transplantation (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Hepatology (281 citations), Transplantation (62 citations), Surgery (324 citations), Epidemiology (157 citations) and Internal Medicine (7 citations). D Verran has collaborated with scholars based in Australia, China and Hong Kong. Frequent co-authors include Liwei Shi, A. Chui, A.R. Rao, Geoffrey W. McCaughan, A. G. R. Sheil, Dorothy M. Painter, Michael Crawford, P Pillay, Atsushi Nanashima and Richard Waugh. Their work appears in journals such as Transplantation Proceedings, The Journal of Heart and Lung Transplantation, Nephrology Dialysis Transplantation, American Journal of Transplantation and Clinical Transplantation.

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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