Alba Sulaj

483 total citations
24 papers, 180 citations indexed

About

Alba Sulaj is a scholar working on Physiology, Neurology and Clinical Biochemistry. According to data from OpenAlex, Alba Sulaj has authored 24 papers receiving a total of 180 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Physiology, 5 papers in Neurology and 5 papers in Clinical Biochemistry. Recurrent topics in Alba Sulaj's work include Pain Mechanisms and Treatments (6 papers), Advanced Glycation End Products research (5 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Alba Sulaj is often cited by papers focused on Pain Mechanisms and Treatments (6 papers), Advanced Glycation End Products research (5 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Alba Sulaj collaborates with scholars based in Germany, Italy and United States. Alba Sulaj's co-authors include Peter P. Nawroth, Stefan Kopf, Ζoltan Κender, Stephan Herzig, Julia Szendroedi, Varun Kumar, Thomas Fleming, Martin Bendszus, Hermann-Josef Gröne and Dániel Schwarz and has published in prestigious journals such as Nucleic Acids Research, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Alba Sulaj

21 papers receiving 180 citations

Peers

Alba Sulaj
Comparison fields: 5 of 50
  • Physiology 75
  • Endocrinology, Diabetes and Metabolism 43
  • Molecular Biology 31
  • Radiology, Nuclear Medicine and Imaging 30
  • Neurology 24
Replace Laurence Baillet with:
Laurence Baillet France
Takahisa Deguchi Japan
M Geissler Germany
Lili Shi China
Shijun Huang United States
Pauline Labbé Canada
Annie K. McAuley Australia
Yi‐Ching Weng Taiwan
Taichi Tsunekawa Japan
Naeem Mahfooz United States
Laurence Baillet France View profile →
Citations per field, relative to Alba Sulaj
Alba Sulaj · 1×
Citations per year, relative to Alba Sulaj
Alba Sulaj · 1×

Countries citing papers authored by Alba Sulaj

Since Specialization
Citations

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

Fields of papers citing papers by Alba Sulaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alba Sulaj

This figure shows the co-authorship network connecting the top 25 collaborators of Alba Sulaj. A scholar is included among the top collaborators of Alba Sulaj 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 Alba Sulaj. Alba Sulaj 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 0
2 3
3 6
4 0
5 6
6 9
7 1
8 1
9 5
10 11
11 7
12 1
13 3
14 9
15 17
16 1
17 3
18 14
19 2
20 37

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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