Morganna Freeman-Keller

930 total citations · 1 hit paper
4 papers, 699 citations indexed

About

Morganna Freeman-Keller is a scholar working on Oncology, Immunology and Infectious Diseases. According to data from OpenAlex, Morganna Freeman-Keller has authored 4 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 4 papers in Immunology and 0 papers in Infectious Diseases. Recurrent topics in Morganna Freeman-Keller's work include Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (4 papers) and CAR-T cell therapy research (3 papers). Morganna Freeman-Keller is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), Immunotherapy and Immune Responses (4 papers) and CAR-T cell therapy research (3 papers). Morganna Freeman-Keller collaborates with scholars based in United States. Morganna Freeman-Keller's co-authors include Jeffrey S. Weber, Young‐Chul Kim, Heather Cronin, Allison Richards, Geoffrey T. Gibney, Jamie Goldman and Jhanelle E. Gray and has published in prestigious journals such as Journal of Clinical Oncology, Clinical Cancer Research and Pharmacology & Therapeutics.

In The Last Decade

Morganna Freeman-Keller

4 papers receiving 696 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Nivolumab in Resected and Unresectable Metastatic Melanoma: Characteristics of Immune-Related Adverse Events and Association with Outcomes

2015 640 citations Morganna Freeman-Keller, Young‐Chul Kim et al. Clinical Cancer Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Morganna Freeman-Keller United States	4	620	197	159	127	59	4	699
Federica De Galitiis Italy	12	661 1.1×	285 1.4×	141 0.9×	193 1.5×	44 0.7×	42	796
Kristin Kathleen Ancell United States	10	540 0.9×	171 0.9×	155 1.0×	98 0.8×	50 0.8×	16	653
Isabella C. Glitza Oliva United States	14	416 0.7×	104 0.5×	180 1.1×	143 1.1×	92 1.6×	38	593
Zhuoran Yao China	8	660 1.1×	254 1.3×	220 1.4×	133 1.0×	62 1.1×	19	817
John Stroehlein United States	10	548 0.9×	107 0.5×	113 0.7×	148 1.2×	169 2.9×	18	741
Éléonore De Guillebon France	9	335 0.5×	184 0.9×	116 0.7×	98 0.8×	33 0.6×	13	462
Gian Antonio Da Prada Italy	12	256 0.4×	134 0.7×	82 0.5×	89 0.7×	33 0.6×	31	566
Chiara Spoto Italy	10	279 0.5×	155 0.8×	109 0.7×	131 1.0×	74 1.3×	13	584
Hong Yi Wang United States	7	531 0.9×	383 1.9×	144 0.9×	175 1.4×	47 0.8×	12	791
Andy Karabajakian France	9	537 0.9×	138 0.7×	246 1.5×	103 0.8×	33 0.6×	19	684

Countries citing papers authored by Morganna Freeman-Keller

Since Specialization

Citations

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

Fields of papers citing papers by Morganna Freeman-Keller

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Morganna Freeman-Keller. 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 Morganna Freeman-Keller. The network helps show where Morganna Freeman-Keller may publish in the future.

Co-authorship network of co-authors of Morganna Freeman-Keller

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

All Works

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4 of 4 papers shown

1.

Freeman-Keller, Morganna, Young‐Chul Kim, Heather Cronin, et al.. (2015). Nivolumab in Resected and Unresectable Metastatic Melanoma: Characteristics of Immune-Related Adverse Events and Association with Outcomes. Clinical Cancer Research. 22(4). 886–894. 640 indexed citations breakdown →

2.

Freeman-Keller, Morganna, Jamie Goldman, & Jhanelle E. Gray. (2015). Vaccine immunotherapy in lung cancer: Clinical experience and future directions. Pharmacology & Therapeutics. 153. 1–9. 30 indexed citations

3.

Freeman-Keller, Morganna & Jeffrey S. Weber. (2015). Nivolumab in resected and unresectable melanoma: Immune-related adverse events and association with survival outcomes.. Journal of Clinical Oncology. 33(15_suppl). 9028–9028. 6 indexed citations

4.

Freeman-Keller, Morganna & Jeffrey S. Weber. (2014). Anti-programmed death receptor 1 immunotherapy in melanoma: rationale, evidence and clinical potential. Therapeutic Advances in Medical Oncology. 7(1). 12–21. 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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