Melissa Johnson

406 total citations
10 papers, 204 citations indexed

About

Melissa Johnson is a scholar working on Neurology, Oncology and Cancer Research. According to data from OpenAlex, Melissa Johnson has authored 10 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Neurology, 3 papers in Oncology and 3 papers in Cancer Research. Recurrent topics in Melissa Johnson's work include Neuroblastoma Research and Treatments (4 papers), CAR-T cell therapy research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Melissa Johnson is often cited by papers focused on Neuroblastoma Research and Treatments (4 papers), CAR-T cell therapy research (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). Melissa Johnson collaborates with scholars based in United States, Canada and Argentina. Melissa Johnson's co-authors include Christopher Calabrese, David Finkelstein, Tal Teitz, Jill M. Lahti, Jerold E. Rehg, Michael A. Dyer, Rachel C. Brennan, Jan Sedlacik, Sara M. Federico and Claudia M. Hillenbrand and has published in prestigious journals such as Blood, PLoS ONE and Cancer Research.

In The Last Decade

Melissa Johnson

9 papers receiving 203 citations

Peers

Melissa Johnson

NEURO

MB

CR

ONCOL

GENET

Marianna Avitabile Italy

R Spitz Germany

Ricky M. Trigg United Kingdom

I.M. Ambros Austria

Marta Jeison Israel

Francesca Lazzaroni Italy

Libenzio Adrian Conti Italy

Caitlin D. Lowery United States

Jan Konrad Siwicki Poland

Alba Font‐Tello United States

Marianna Avitabile Italy

Melissa Johnson

159 ×1.6

NEURO

173 ×2.1

MB

146 ×2.1

CR

60 ×1.2

ONCOL

32 ×1.1

GENET

Citations per year, relative to Melissa Johnson Melissa Johnson (= 1×) peers Marianna Avitabile

Countries citing papers authored by Melissa Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Melissa Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melissa Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Johnson. A scholar is included among the top collaborators of Melissa Johnson 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 Melissa Johnson. Melissa Johnson 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

1.

Ashley, Elizabeth Dodds, et al.. (2025). 499. Seeing the full picture: Adding discharge antibiotic durations to the dashboard. Open Forum Infectious Diseases. 12(Supplement_1).

2.

Epperly, Rebecca, Emília M. Pinto, Teresa Santiago, et al.. (2023). Abstract 1197: B7-H3-CAR T cells for the treatment of pediatric adrenocortical carcinoma. Cancer Research. 83(7_Supplement). 1197–1197. 3 indexed citations

3.

Dougherty, Jack, Nicholas Turner, Rebekah W. Moehring, et al.. (2022). 1570. Cumulative Antibiotic Exposure and Risk for Candidemia. Open Forum Infectious Diseases. 9(Supplement_2). 1 indexed citations

4.

Nguyen, Rosa, Anand G. Patel, Lyra Griffiths, et al.. (2020). Next-generation humanized patient-derived xenograft mouse model for pre-clinical antibody studies in neuroblastoma. Cancer Immunology Immunotherapy. 70(3). 721–732. 14 indexed citations

5.

Li, Liyuan, Maoxiang Qian, I‐Hsuan Chen, et al.. (2017). Acquisition of Cholangiocarcinoma Traits during Advanced Hepatocellular Carcinoma Development in Mice. American Journal Of Pathology. 188(3). 656–671. 26 indexed citations

6.

Shirinifard, Abbas, Suresh Thiagarajan, Melissa Johnson, Christopher Calabrese, & András Sablauer. (2017). Measuring Absolute Blood Perfusion in Mice Using Dynamic Contrast-Enhanced Ultrasound. Ultrasound in Medicine & Biology. 43(8). 1628–1638. 4 indexed citations

7.

Li, Liyuan, Melissa Johnson, Christopher Calabrese, et al.. (2016). Abstract B38: Identification of highly metastatic disseminating tumor cells in late-stage liver cancer lung metastasis. Cancer Research. 76(7_Supplement). B38–B38. 15 indexed citations

8.

Teitz, Tal, Marcus B. Valentine, Kejin Zhu, et al.. (2013). Th-MYCN Mice with Caspase-8 Deficiency Develop Advanced Neuroblastoma with Bone Marrow Metastasis. Cancer Research. 73(13). 4086–4097. 48 indexed citations

9.

Teitz, Tal, Jennifer J. Stanke, Sara M. Federico, et al.. (2011). Preclinical Models for Neuroblastoma: Establishing a Baseline for Treatment. PLoS ONE. 6(4). e19133–e19133. 70 indexed citations

10.

Lebensburger, Jeffrey D., Thad A. Howard, Tamara I. Pestina, et al.. (2011). Hydroxyurea therapy of a murine model of sickle cell anemia inhibits the progression of pneumococcal disease by down-modulating E-selectin. Blood. 119(8). 1915–1921. 23 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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