Daniel R. Calabrese

971 total citations
56 papers, 568 citations indexed

About

Daniel R. Calabrese is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Daniel R. Calabrese has authored 56 papers receiving a total of 568 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Surgery, 21 papers in Pulmonary and Respiratory Medicine and 16 papers in Immunology. Recurrent topics in Daniel R. Calabrese's work include Transplantation: Methods and Outcomes (40 papers), Immune Cell Function and Interaction (13 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers). Daniel R. Calabrese is often cited by papers focused on Transplantation: Methods and Outcomes (40 papers), Immune Cell Function and Interaction (13 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (12 papers). Daniel R. Calabrese collaborates with scholars based in United States, Canada and Czechia. Daniel R. Calabrese's co-authors include John R. Greenland, Timothy E. Hullar, Steven R. Hays, Jonathan P. Singer, Jasleen Kukreja, Lewis L. Lanier, Jeffrey A. Golden, Mark R. Looney, Simon J. Cleary and Lorriana E. Leard and has published in prestigious journals such as Journal of Clinical Investigation, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Daniel R. Calabrese

46 papers receiving 565 citations

Peers

Daniel R. Calabrese
Comparison fields: 5 of 92
  • Surgery 238
  • Immunology 131
  • Pulmonary and Respiratory Medicine 116
  • Transplantation 97
  • Epidemiology 96
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Citations per field, relative to Daniel R. Calabrese
Daniel R. Calabrese · 1×
Citations per year, relative to Daniel R. Calabrese
Daniel R. Calabrese · 1×

Countries citing papers authored by Daniel R. Calabrese

Since Specialization
Citations

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

Fields of papers citing papers by Daniel R. Calabrese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel R. Calabrese. 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 Daniel R. Calabrese. The network helps show where Daniel R. Calabrese may publish in the future.

Co-authorship network of co-authors of Daniel R. Calabrese

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel R. Calabrese. A scholar is included among the top collaborators of Daniel R. Calabrese 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 Daniel R. Calabrese. Daniel R. Calabrese 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 2
2 0
3 0
4 0
5 0
6 2
7 4
8 10
9 3
10 23
11 4
12 13
13 4
14 60
15 8
16 1
17 13
18 34
19 29
20 16

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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