Alexandra M. Haugh

927 total citations · 1 hit paper
16 papers, 625 citations indexed

About

Alexandra M. Haugh is a scholar working on Oncology, Small Animals and Molecular Biology. According to data from OpenAlex, Alexandra M. Haugh has authored 16 papers receiving a total of 625 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Oncology, 4 papers in Small Animals and 4 papers in Molecular Biology. Recurrent topics in Alexandra M. Haugh's work include Cutaneous Melanoma Detection and Management (7 papers), CAR-T cell therapy research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Alexandra M. Haugh is often cited by papers focused on Cutaneous Melanoma Detection and Management (7 papers), CAR-T cell therapy research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). Alexandra M. Haugh collaborates with scholars based in United States and France. Alexandra M. Haugh's co-authors include Douglas B. Johnson, John C. Probasco, Andrew L. Mammen, Javid J. Moslehi, Ali Manouchehri, Henry T. Quach, Bénédicte Lebrun‐Vignes, Justin M. Balko, Joe‐Elie Salem and Jeffrey A. Bubley and has published in prestigious journals such as Journal of Clinical Investigation, Journal of Investigative Dermatology and The American Journal of Surgical Pathology.

In The Last Decade

Alexandra M. Haugh

16 papers receiving 615 citations

Hit Papers

Neurologic toxicity assoc... 2019 2026 2021 2023 2019 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandra M. Haugh United States 10 461 180 167 111 91 16 625
Isabella C. Glitza Oliva United States 14 416 0.9× 180 1.0× 143 0.9× 12 0.1× 83 0.9× 38 593
Jodie Palmer Australia 13 366 0.8× 274 1.5× 259 1.6× 79 0.7× 51 0.6× 29 813
Heather M. Shaw United Kingdom 13 352 0.8× 132 0.7× 349 2.1× 39 0.4× 55 0.6× 34 725
Annelies Klaasen Netherlands 7 188 0.4× 71 0.4× 170 1.0× 17 0.2× 30 0.3× 8 396
Suzanne Fioravanti United States 12 452 1.0× 71 0.4× 146 0.9× 21 0.2× 23 0.3× 28 696
Yasuhiro Nagamachi Japan 12 182 0.4× 57 0.3× 249 1.5× 40 0.4× 14 0.2× 26 526
Maryse Baia France 10 251 0.5× 44 0.2× 113 0.7× 53 0.5× 113 1.2× 12 612
Wyndham H. Wilson United States 4 245 0.5× 41 0.2× 340 2.0× 56 0.5× 95 1.0× 7 647
Patrick Jedlowski United States 13 232 0.5× 34 0.2× 523 3.1× 22 0.2× 52 0.6× 34 788
Betsy Morrow United States 11 180 0.4× 211 1.2× 122 0.7× 93 0.8× 20 0.2× 18 497

Countries citing papers authored by Alexandra M. Haugh

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra M. Haugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alexandra M. Haugh. 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 Alexandra M. Haugh. The network helps show where Alexandra M. Haugh may publish in the future.

Co-authorship network of co-authors of Alexandra M. Haugh

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

All Works

16 of 16 papers shown
1.
Haugh, Alexandra M., Robert C. Osorio, R François, et al.. (2024). Targeted DNA Sequencing of Cutaneous Melanoma Identifies Prognostic and Predictive Alterations. Cancers. 16(7). 1347–1347. 1 indexed citations
2.
Haugh, Alexandra M. & Adil Daud. (2024). Distinguishing between help and harm: Helper T cell subsets and immune-related adverse events. Journal of Clinical Investigation. 134(20). 1 indexed citations
3.
Haugh, Alexandra M. & Adil Daud. (2024). Current Role and Status for Intratumoral Injection Therapies in Metastatic Melanoma. The Cancer Journal. 30(2). 108–112. 1 indexed citations
4.
Haugh, Alexandra M., April K.S. Salama, & Douglas B. Johnson. (2020). Advanced Melanoma. Hematology/Oncology Clinics of North America. 35(1). 111–128. 8 indexed citations
5.
Haugh, Alexandra M., John C. Probasco, & Douglas B. Johnson. (2020). Neurologic complications of immune checkpoint inhibitors. Expert Opinion on Drug Safety. 19(4). 479–488. 100 indexed citations
6.
Johnson, Douglas B., Justine V. Cohen, Alexandra M. Haugh, et al.. (2019). Anti–PD-1–Induced Pneumonitis Is Associated with Persistent Imaging Abnormalities in Melanoma Patients. Cancer Immunology Research. 7(11). 1755–1759. 20 indexed citations
7.
Johnson, Douglas B., Ali Manouchehri, Alexandra M. Haugh, et al.. (2019). Neurologic toxicity associated with immune checkpoint inhibitors: a pharmacovigilance study. Journal for ImmunoTherapy of Cancer. 7(1). 134–134. 260 indexed citations breakdown →
8.
Haugh, Alexandra M. & Douglas B. Johnson. (2019). Management of V600E and V600K BRAF-Mutant Melanoma. Current Treatment Options in Oncology. 20(11). 81–81. 23 indexed citations
9.
Garfield, Erin M., Bin Zhang, Victor L. Quan, et al.. (2018). The role of TERT promoter mutations in differentiating recurrent nevi from recurrent melanomas: A retrospective, case-control study. Journal of the American Academy of Dermatology. 80(3). 685–693. 10 indexed citations
10.
Isales, Carlos M., Alexandra M. Haugh, Jeffrey A. Bubley, et al.. (2018). Pigmented onychomatricoma: a rare mimic of subungual melanoma. Clinical and Experimental Dermatology. 43(5). 623–626. 9 indexed citations
11.
Verzì, Anna Elisa, Jeffrey A. Bubley, Alexandra M. Haugh, et al.. (2017). A single-institution assessment of superficial spreading melanoma (SSM) in the pediatric population: Molecular and histopathologic features compared with adult SSM. Journal of the American Academy of Dermatology. 77(5). 886–892. 9 indexed citations
12.
Haugh, Alexandra M., Ching-Ni Jenny Njauw, Jeffrey A. Bubley, et al.. (2017). Genotypic and Phenotypic Features of BAP1 Cancer Syndrome. JAMA Dermatology. 153(10). 999–999. 58 indexed citations
13.
Haugh, Alexandra M., Bin Zhang, Victor L. Quan, et al.. (2017). Distinct Patterns of Acral Melanoma Based on Site and Relative Sun Exposure. Journal of Investigative Dermatology. 138(2). 384–393. 36 indexed citations
14.
Isales, Maria C., Alexandra M. Haugh, Jeffrey A. Bubley, et al.. (2017). Genomic Assessment of Blitz Nevi Suggests Classification as a Subset of Blue Nevus Rather Than Spitz Nevus: Clinical, Histopathologic, and Molecular Analysis of 18 Cases. American Journal of Dermatopathology. 40(2). 118–124. 4 indexed citations
15.
Amin, Sapna M., Alexandra M. Haugh, Christina Y. Lee, et al.. (2016). A Comparison of Morphologic and Molecular Features of BRAF, ALK, and NTRK1 Fusion Spitzoid Neoplasms. The American Journal of Surgical Pathology. 41(4). 491–498. 75 indexed citations
16.
Haugh, Alexandra M., Emily A. Merkel, Bin Zhang, et al.. (2016). A clinical, histologic, and follow-up study of genital melanosis in men and women. Journal of the American Academy of Dermatology. 76(5). 836–840. 10 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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