Annabel K. Wang

2.5k total citations
10 papers, 280 citations indexed

About

Annabel K. Wang is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Annabel K. Wang has authored 10 papers receiving a total of 280 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Neurology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Annabel K. Wang's work include Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Peripheral Neuropathies and Disorders (2 papers). Annabel K. Wang is often cited by papers focused on Amyloidosis: Diagnosis, Treatment, Outcomes (6 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Peripheral Neuropathies and Disorders (2 papers). Annabel K. Wang collaborates with scholars based in United States, Argentina and Brazil. Annabel K. Wang's co-authors include Veena Mathew, Andrei Voustianiouk, Daniela Saadia, Horacio Kaufmann, Phillip A. Low, Robert D. Fealey, Tonette L. Gehrking, Seward B. Rutkove, Elizabeth M. Raynor and Andrew S. Blum and has published in prestigious journals such as Blood, Neurology and Mayo Clinic Proceedings.

In The Last Decade

Annabel K. Wang

10 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Annabel K. Wang United States	6	127	105	100	50	42	10	280
Fábio Barroso Argentina	12	285 2.2×	82 0.8×	48 0.5×	55 1.1×	63 1.5×	34	392
Can Ebru Bekircan‐Kurt Türkiye	10	73 0.6×	103 1.0×	44 0.4×	20 0.4×	27 0.6×	39	233
Wladimir Mauhin France	9	118 0.9×	36 0.3×	178 1.8×	63 1.3×	61 1.5×	22	356
Maryam Sedghi Iran	11	176 1.4×	70 0.7×	30 0.3×	36 0.7×	14 0.3×	46	338
Amina Chaouch United Kingdom	7	146 1.1×	190 1.8×	29 0.3×	115 2.3×	27 0.6×	14	314
Rose M. Ko United States	8	146 1.1×	76 0.7×	34 0.3×	28 0.6×	30 0.7×	13	388
Shrishti Saxena United States	12	149 1.2×	126 1.2×	28 0.3×	46 0.9×	53 1.3×	27	450
M Beis Canada	5	115 0.9×	229 2.2×	19 0.2×	23 0.5×	13 0.3×	6	376
Martin A. Haagmans Netherlands	7	157 1.2×	51 0.5×	41 0.4×	41 0.8×	23 0.5×	11	301
Maria Antonietta Maioli Italy	11	245 1.9×	24 0.2×	20 0.2×	58 1.2×	44 1.0×	17	342

Countries citing papers authored by Annabel K. Wang

Since Specialization

Citations

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

Fields of papers citing papers by Annabel K. Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Annabel K. Wang. 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 Annabel K. Wang. The network helps show where Annabel K. Wang may publish in the future.

Co-authorship network of co-authors of Annabel K. Wang

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

All Works

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10 of 10 papers shown

Mathew, Veena & Annabel K. Wang. (2019). <p>Inotersen: new promise for the treatment of hereditary transthyretin amyloidosis</p>. Drug Design Development and Therapy. Volume 13. 1515–1525. 69 indexed citations

Waddington‐Cruz, Márcia, Elizabeth J. Ackermann, Michael Polydefkis, et al.. (2018). Hereditary transthyretin amyloidosis: baseline characteristics of patients in the NEURO-TTR trial. Amyloid. 25(3). 180–188. 22 indexed citations

Brannagan, Thomas H., Annabel K. Wang, Teresa Coelho, et al.. (2018). Long-Term Update from the Open-Label Extension of the NEURO-TTR Study in Patients with Hereditary Transthyretin Amyloidosis. Blood. 132(Supplement 1). 498–498. 4 indexed citations

Dasgupta, Noel R., Annabel K. Wang, Joyce Hardwick, & Merrill D. Benson. (2017). An aggressive form of transthyretin amyloidosis. Amyloid. 24(sup1). 95–96. 1 indexed citations

Lange, Dale J., et al.. (2011). Do A‐waves help predict intravenous immunoglobulin response in multifocal motor neuropathy without block?. Muscle & Nerve. 43(4). 537–542. 2 indexed citations

Wang, Annabel K., Robert D. Fealey, Tonette L. Gehrking, & Phillip A. Low. (2008). Patterns of Neuropathy and Autonomic Failure in Patients With Amyloidosis. Mayo Clinic Proceedings. 83(11). 1226–1230. 67 indexed citations

Wang, Annabel K.. (2001). Amyloid Neuropathy. Archives of Neurology. 58(5). 822–822. 1 indexed citations

Saadia, Daniela, Andrei Voustianiouk, Annabel K. Wang, & Horacio Kaufmann. (2001). Botulinum toxin type A in primary palmar hyperhidrosis. Neurology. 57(11). 2095–2099. 84 indexed citations

Wang, Annabel K., Elizabeth M. Raynor, Andrew S. Blum, & Seward B. Rutkove. (1999). Heat sensitivity of sensory fibers in carpal tunnel syndrome. Muscle & Nerve. 22(1). 37–42. 15 indexed citations

10.

Rutkove, Seward B., Jeremy M. Shefner, Annabel K. Wang, Michael Ronthal, & Elizabeth M. Raynor. (1998). High-temperature repetitive nerve stimulation in myasthenia gravis. Muscle & Nerve. 21(11). 1414–1418. 15 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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