Emily R. Nadelmann

2.5k total citations
8 papers, 116 citations indexed

About

Emily R. Nadelmann is a scholar working on Oncology, Molecular Biology and Pharmacology. According to data from OpenAlex, Emily R. Nadelmann has authored 8 papers receiving a total of 116 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 2 papers in Molecular Biology and 2 papers in Pharmacology. Recurrent topics in Emily R. Nadelmann's work include Cutaneous Melanoma Detection and Management (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Skin and Cellular Biology Research (1 paper). Emily R. Nadelmann is often cited by papers focused on Cutaneous Melanoma Detection and Management (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Skin and Cellular Biology Research (1 paper). Emily R. Nadelmann collaborates with scholars based in United States, South Korea and Germany. Emily R. Nadelmann's co-authors include Steven T. Chen, Jennifer Yeh, Jun‐Dae Kim, Stanley G. Rockson, Jong Min Kim, Hyung J. Chun, Yujung Kang, Irinna Papangeli, Jingxia Wu and Suk-Won Jin and has published in prestigious journals such as Arteriosclerosis Thrombosis and Vascular Biology, European Journal of Cancer and Journal of the American College of Surgeons.

In The Last Decade

Emily R. Nadelmann

7 papers receiving 114 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emily R. Nadelmann United States 5 56 43 23 18 16 8 116
Robert A. Anders United States 5 39 0.7× 51 1.2× 6 0.3× 16 0.9× 29 1.8× 10 115
William Kim United States 3 26 0.5× 46 1.1× 22 1.0× 9 0.5× 29 1.8× 3 98
Claudia Hirschi Switzerland 4 13 0.2× 32 0.7× 13 0.6× 48 2.7× 8 0.5× 5 101
Tran Thuy Nguyen Vietnam 6 44 0.8× 56 1.3× 3 0.1× 22 1.2× 15 0.9× 25 153
Yingzheng Xu United States 7 31 0.6× 77 1.8× 7 0.3× 20 1.1× 156 9.8× 12 240
Gaohui Zhu China 5 17 0.3× 95 2.2× 5 0.2× 8 0.4× 5 0.3× 12 147
Angela Cheng United States 8 38 0.7× 103 2.4× 3 0.1× 55 3.1× 21 1.3× 12 198
Laura M. Yerges-Armstrong United States 8 26 0.5× 52 1.2× 5 0.2× 9 0.5× 6 0.4× 13 147
Zhigang Zhao China 6 16 0.3× 77 1.8× 4 0.2× 19 1.1× 9 0.6× 10 133

Countries citing papers authored by Emily R. Nadelmann

Since Specialization
Citations

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

Fields of papers citing papers by Emily R. Nadelmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily R. Nadelmann. 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 Emily R. Nadelmann. The network helps show where Emily R. Nadelmann may publish in the future.

Co-authorship network of co-authors of Emily R. Nadelmann

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

All Works

8 of 8 papers shown
1.
Nadelmann, Emily R., et al.. (2025). Erythroderma and Bullae in a Psoriatic Patient: Navigating Diagnostic Bias. Cureus. 17(10). e94457–e94457.
2.
Nadelmann, Emily R., et al.. (2025). Acral Melanoma in Skin of Color: Current Insights and Future Directions: A Narrative Review. Cancers. 17(3). 468–468. 3 indexed citations
3.
Kurtansky, Nicholas R., Emily R. Nadelmann, Andrea P. Moy, et al.. (2024). Declining Clinical Utility of Tools for Predicting Sentinel Lymph Node Biopsy Status: A Single Institution Experience from 2000 to 2021. Annals of Surgical Oncology. 32(3). 1463–1472. 2 indexed citations
4.
Kurtansky, Nicholas R., Emily R. Nadelmann, Andrea P. Moy, et al.. (2023). Clinical Utility of Melanoma Sentinel Lymph Node Biopsy Nomograms. Journal of the American College of Surgeons. 238(1). 23–31. 5 indexed citations
5.
Thompson, Leah L., Emily R. Nadelmann, Amy E. Blum, et al.. (2021). Patterns and prognostic significance of cutaneous immune-related adverse events in non–small cell lung cancer. European Journal of Cancer. 147. 13–16. 6 indexed citations
6.
Nadelmann, Emily R., Joshua Gorham, Daniel Reichart, et al.. (2021). Isolation of Nuclei from Mammalian Cells and Tissues for Single‐Nucleus Molecular Profiling. Current Protocols. 1(5). e132–e132. 27 indexed citations
7.
Nadelmann, Emily R., Jennifer Yeh, & Steven T. Chen. (2021). Management of Cutaneous Immune-Related Adverse Events in Patients With Cancer Treated With Immune Checkpoint Inhibitors. JAMA Oncology. 8(1). 130–130. 33 indexed citations
8.
Kim, Jun‐Dae, Yujung Kang, Jong Min Kim, et al.. (2013). Essential Role of Apelin Signaling During Lymphatic Development in Zebrafish. Arteriosclerosis Thrombosis and Vascular Biology. 34(2). 338–345. 40 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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