Fiona Black

28 papers receiving 715 citations

Peers

Fiona Black
Comparison fields: 5 of 91
  • Aging 19
  • Transplantation 20
  • Cardiology and Cardiovascular Medicine 109
  • Physiology 114
  • Molecular Biology 297
Replace Oscar Suzuki with:
Oscar Suzuki United States
Amy C. Ladd United States
Daniel Röth United Kingdom
Rui Zhong United States
Christina Pagiatakis Italy
Taku Sakai Japan
Gittan Kollberg Sweden
Zahra Al Amir Dache France
Sevahn K. Vorperian United States
Marc Ingenwerth Germany
Fiona Black relative to Oscar Suzuki United States Oscar Suzuki's profile →
Citations per field
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Citations per year

Countries citing papers authored by Fiona Black

Since Specialization
Citations

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

Fields of papers citing papers by Fiona Black

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015137
2 1991103
3 201484
4 201958
5 201150
6 199241
7 200636
8 202033
9 201028
10 200725
11 202124
12 199021
13 201017
14 200916
15 199114
16 20089
17 20067
18 20107
19 19906
20 20246

About Fiona Black

Fiona Black is a scholar working on Surgery, Pulmonary and Respiratory Medicine, Molecular Biology, Physiology and Oncology, having authored 30 papers that have together received 742 indexed citations. Recurring topics across this work include Transplantation: Methods and Outcomes (6 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Occupational and environmental lung diseases (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Viral Infections and Immunology Research (2 papers), RNA modifications and cancer (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers) and Cardiac Structural Anomalies and Repair (2 papers). The work is most often cited by research in Aging (19 citations), Transplantation (20 citations), Cardiology and Cardiovascular Medicine (109 citations), Physiology (114 citations) and Molecular Biology (297 citations). Fiona Black has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Thomas G. Parker, Michael D. Schneider, Nicholas R. Leslie, Laura Spinelli, Britta Johanna Eickholt, Jonathan Neil Berg, Robert John Schwartz, Robert Roberts, Michael J.O. Wakelam and Jennifer Munkley. Their work appears in journals such as The Journal of Heart and Lung Transplantation, Biochemical Journal, British Journal of Cancer, Histopathology and Respiratory Medicine.

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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