S. Norman

1.1k total citations · 1 hit paper
8 papers, 684 citations indexed

About

S. Norman is a scholar working on Cardiology and Cardiovascular Medicine, Oncology and Surgery. According to data from OpenAlex, S. Norman has authored 8 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 4 papers in Oncology and 2 papers in Surgery. Recurrent topics in S. Norman's work include Lymphatic System and Diseases (3 papers), Ultrasound in Clinical Applications (2 papers) and Congenital heart defects research (2 papers). S. Norman is often cited by papers focused on Lymphatic System and Diseases (3 papers), Ultrasound in Clinical Applications (2 papers) and Congenital heart defects research (2 papers). S. Norman collaborates with scholars based in United Kingdom, Australia and India. S. Norman's co-authors include Paul R. Riley, Carolyn A. Carr, Joaquim Miguel Vieira, Sveva Bollini, Fumio Matsuzaki, Karina N. Dubé, Megan Masters, Mala Rohling, David R. Greaves and David G. Jackson and has published in prestigious journals such as Nature, Journal of Clinical Investigation and Blood.

In The Last Decade

S. Norman

5 papers receiving 681 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cardiac lymphatics are heterogeneous in origin and respond to injury

2015 367 citations S. Norman, Joaquim Miguel Vieira et al. Nature profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
S. Norman United Kingdom	4	395	307	163	142	133	8	684
Wanshu Ma United States	13	328 0.8×	216 0.7×	122 0.7×	84 0.6×	102 0.8×	15	621
Gou Young Koh South Korea	3	263 0.7×	239 0.8×	101 0.6×	72 0.5×	94 0.7×	3	487
Xiaolei Liu United States	10	323 0.8×	235 0.8×	113 0.7×	65 0.5×	100 0.8×	16	547
Noelia Escobedo Chile	10	414 1.0×	266 0.9×	134 0.8×	35 0.2×	209 1.6×	18	803
Cristina Villa del Campo Spain	8	158 0.4×	341 1.1×	129 0.8×	142 1.0×	56 0.4×	10	574
Daniel T. Sweet United States	10	309 0.8×	313 1.0×	133 0.8×	57 0.4×	256 1.9×	13	734
Marie-Luise von Brühl Germany	8	136 0.3×	253 0.8×	106 0.7×	139 1.0×	79 0.6×	12	842
Brenda Finney United Kingdom	13	182 0.5×	182 0.6×	87 0.5×	77 0.5×	52 0.4×	18	645
Manu Beerens United States	16	115 0.3×	346 1.1×	68 0.4×	86 0.6×	106 0.8×	35	653
Florent Morfoisse France	13	252 0.6×	260 0.8×	77 0.5×	43 0.3×	71 0.5×	25	527

Countries citing papers authored by S. Norman

Since Specialization

Citations

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

Fields of papers citing papers by S. Norman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. Norman

This figure shows the co-authorship network connecting the top 25 collaborators of S. Norman. A scholar is included among the top collaborators of S. Norman 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 S. Norman. S. Norman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Norman, S., et al.. (2024). A 10-year review of presentation, management and outcomes of STEMI in a high-volume regional tertiary Australian centre. International Journal of Cardiology. 410. 132224–132224.

2.

Norman, S., et al.. (2022). ‘Just another asthma attack?’ - point of care ultrasound as a game changer in respiratory failure. Acute Medicine Journal. 21(2). 107–110.

3.

Krishnamoorthy, Rajagopal, et al.. (2020). 865 Outcomes With Accelerated TR Band Removal Time for Trans-Radial Cardiac Catheterisation. Heart Lung and Circulation. 29. S425–S426.

4.

Norman, S., et al.. (2018). Coronary Sinus Thrombosis as a Result of Adjacent Tumour Mass. Heart Lung and Circulation. 27. S231–S231. 1 indexed citations

5.

Vieira, Joaquim Miguel, S. Norman, Cristina Villa del Campo, et al.. (2018). The cardiac lymphatic system stimulates resolution of inflammation following myocardial infarction. Journal of Clinical Investigation. 128(8). 3402–3412. 204 indexed citations

6.

Norman, S. & Paul R. Riley. (2015). Anatomy and development of the cardiac lymphatic vasculature: Its role in injury and disease. Clinical Anatomy. 29(3). 305–315. 27 indexed citations

7.

Norman, S., Joaquim Miguel Vieira, Megan Masters, et al.. (2015). Cardiac lymphatics are heterogeneous in origin and respond to injury. Nature. 522(7554). 62–67. 367 indexed citations breakdown →

8.

Iqbal, Asif, Eileen McNeill, Theodore S. Kapellos, et al.. (2014). Human CD68 promoter GFP transgenic mice allow analysis of monocyte to macrophage differentiation in vivo. Blood. 124(15). e33–e44. 85 indexed citations

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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