D. Goldstein

2.4k citations
49 papers · 524 · h-index 12

Impact in

Papers in

    • SARS-CoV-2 and COVID-19 Research 6
    • COVID-19 Clinical Research Studies 3
    • Transplantation: Methods and Outcomes 6

D. Goldstein

42 papers receiving 510 citations

Peers

D. Goldstein
Comparison fields: 5 of 79
  • Infectious Diseases 172
  • Health Informatics 12
  • Hepatology 48
  • Transplantation 16
  • Neurology 74
Replace Lianxiong Yuan with:
Lianxiong Yuan China
Emirena Garrafa Italy
James Szymanski United States
A P Boon United Kingdom
Igino Simonetti Italy
Paul Meunier Belgium
Flávia Paiva Proença Lobo Lopes Brazil
Daniel E. Pleguezuelo Spain
TaeBong Chung Canada
Hong Eo South Korea
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Citations per field
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Citations per year

Countries citing papers authored by D. Goldstein

Since Specialization
Citations

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

Fields of papers citing papers by D. Goldstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202191
2 199470
3 202163
4 202160
5 202029
6 201725
7 198125
8 202022
9 201822
10 202116
11 202014
12 202012
13 202011
14 20177
15 20174
16 20164
17 20234
18 20104
19 20104
20 20223

About D. Goldstein

D. Goldstein is a scholar working on Infectious Diseases, Surgery, Biomedical Engineering, Epidemiology and Pulmonary and Respiratory Medicine, having authored 49 papers that have together received 524 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (6 papers), Transplantation: Methods and Outcomes (6 papers), Mechanical Circulatory Support Devices (5 papers), Renal Transplantation Outcomes and Treatments (4 papers), Cervical Cancer and HPV Research (4 papers), Hepatitis C virus research (4 papers), COVID-19 Clinical Research Studies (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Infectious Diseases (172 citations), Health Informatics (12 citations), Hepatology (48 citations), Transplantation (16 citations) and Neurology (74 citations). D. Goldstein has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Erika P. Orner, Betsy C. Herold, Kevan C. Herold, Marla J. Keller, Carl A. Pierce, Benjamin Galen, Sharlene Sy, James Szymanski, Balázs Halmos and D. T. Ross. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Microbiology Spectrum, American Journal of Clinical Pathology, Journal of Clinical Pathology and Journal of Hepatology.

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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