Edana Stroberg

1.9k citations
12 papers · 1.2k · 1 hit paper · h-index 8

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Neurology top 5%
    • Long-Term Effects of COVID-19
    • CNS Lymphoma Diagnosis and Treatment

Papers in

Edana Stroberg

11 papers receiving 1.1k citations

Edana Stroberg's Hit Papers

COVID-19 Autopsies, Oklahoma, USA 2020 · 625 citations
6250+2+4Years since publication200400600

Peers

Edana Stroberg
Comparison fields: 5 of 117
  • Infectious Diseases 613
  • Neurology 325
  • Obstetrics and Gynecology 65
  • Dermatology 65
  • Modeling and Simulation 31
Replace Eric J. Duval with:
Eric J. Duval United States
Lisa M. Barton United States
Stephrene Seok Wei Chan Singapore
Meiyan Liao China
Alessandro Pellegrinelli Italy
Bingwen Eugene Fan Singapore
Luca Carsana Italy
Zhiping Qian China
Panagiota Gianni Germany
Edana Stroberg relative to Eric J. Duval United States Eric J. Duval's profile →
Citations per field
00.5×1.5×2.2×
Eric J. Duval · 1×
Citations per year

Countries citing papers authored by Edana Stroberg

Since Specialization
Citations

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

Fields of papers citing papers by Edana Stroberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1
COVID-19 Autopsies, Oklahoma, USA
Hit paper breakdown →
2020625
2 2020227
3 2020128
4 202071
5 201662
6 201611
7 201610
8 20228
9 20207
10 20217
11 20213
12 20180

About Edana Stroberg

Edana Stroberg is a scholar working on Neurology, Infectious Diseases, Radiology, Nuclear Medicine and Imaging, Endocrinology and Obstetrics and Gynecology, having authored 12 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 diagnosis using AI (2 papers), Cancer Mechanisms and Therapy (1 paper), Digital Imaging for Blood Diseases (1 paper), Reproductive System and Pregnancy (1 paper), Infections and bacterial resistance (1 paper) and Chromatin Remodeling and Cancer (1 paper). The work is most often cited by research in Infectious Diseases (613 citations), Neurology (325 citations), Obstetrics and Gynecology (65 citations), Dermatology (65 citations) and Modeling and Simulation (31 citations). Edana Stroberg has collaborated with scholars based in United States and Switzerland. Frequent co-authors include Lisa M. Barton, Eric J. Duval, Sanjay Mukhopadhyay, Subha Ghosh, Nour Chams, Sana Chams, Ali Shams, Inaya Hajj Hussein, Mohamad Raad and Alexandar Tzankov. Their work appears in journals such as Frontiers in Public Health, Journal of Neuropathology & Experimental Neurology, Journal of Virology, Laboratory Investigation and Diagnostic Pathology.

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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