Daniela P. Ladner

6.2k total citations · 1 hit paper
162 papers, 4.0k citations indexed

About

Daniela P. Ladner is a scholar working on Hepatology, Surgery and Epidemiology. According to data from OpenAlex, Daniela P. Ladner has authored 162 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Hepatology, 56 papers in Surgery and 41 papers in Epidemiology. Recurrent topics in Daniela P. Ladner's work include Liver Disease and Transplantation (74 papers), Organ Transplantation Techniques and Outcomes (53 papers) and Renal Transplantation Outcomes and Treatments (41 papers). Daniela P. Ladner is often cited by papers focused on Liver Disease and Transplantation (74 papers), Organ Transplantation Techniques and Outcomes (53 papers) and Renal Transplantation Outcomes and Treatments (41 papers). Daniela P. Ladner collaborates with scholars based in United States, Philippines and Canada. Daniela P. Ladner's co-authors include Michaël Abécassis, Jane L. Holl, Anton Skaro, Juan Carlos Caicedo, Colleen L. Jay, Elisa J. Gordon, Zeeshan Butt, Michael S. Wolf, Vadim Lyuksemburg and Lisa M. McElroy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Annals of Internal Medicine.

In The Last Decade

Daniela P. Ladner

149 papers receiving 3.9k citations

Hit Papers

Awareness, Attitudes, and Actions Related to COVID-19 Amo... 2020 2026 2022 2024 2020 100 200 300

Peers

Daniela P. Ladner
Comparison fields: 5 of 144
  • Hepatology 1.7k
  • Surgery 1.7k
  • Public Health, Environmental and Occupational Health 1.1k
  • Transplantation 829
  • Epidemiology 755
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Citations per field, relative to Daniela P. Ladner
Daniela P. Ladner · 1×
Citations per year, relative to Daniela P. Ladner
Daniela P. Ladner · 1×

Countries citing papers authored by Daniela P. Ladner

Since Specialization
Citations

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

Fields of papers citing papers by Daniela P. Ladner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela P. Ladner. 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 Daniela P. Ladner. The network helps show where Daniela P. Ladner may publish in the future.

Co-authorship network of co-authors of Daniela P. Ladner

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela P. Ladner. A scholar is included among the top collaborators of Daniela P. Ladner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniela P. Ladner. Daniela P. Ladner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 0
5 3
6 12
7 3
8 2
9 4
10 8
11 21
12 27
13 3
14 4
15 18
16 166
17 36
18 15
19 21
20 81

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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