Deanna Langfitt

154 total papers · 1.0k total citations
15 papers, 309 citations indexed

About

Deanna Langfitt is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Deanna Langfitt has authored 15 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 7 papers in Molecular Biology and 5 papers in Immunology. Recurrent topics in Deanna Langfitt's work include CAR-T cell therapy research (11 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Nanowire Synthesis and Applications (4 papers). Deanna Langfitt is often cited by papers focused on CAR-T cell therapy research (11 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers) and Nanowire Synthesis and Applications (4 papers). Deanna Langfitt collaborates with scholars based in United States, Egypt and Italy. Deanna Langfitt's co-authors include Stephen Gottschalk, Sagar L. Patil, Matthew Bell, Mireya Paulina Velasquez, Jeffery M. Klco, Giedre Krenciute, Abishek Vaidya, Enrico Lugli, Masayuki Umeda and Sujuan Huang and has published in prestigious journals such as Nature Communications, Blood and The Journal of Immunology.

In The Last Decade

Deanna Langfitt

14 papers receiving 307 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Deanna Langfitt	238	116	116	74	71	15	309
Abishek Vaidya	210 0.9×	102 0.9×	126 1.1×	44 0.6×	58 0.8×	19	322
Zhen Jin	171 0.7×	117 1.0×	64 0.6×	131 1.8×	59 0.8×	19	331
Anat Globerson Levin	223 0.9×	181 1.6×	135 1.2×	102 1.4×	45 0.6×	20	364
Khalid Saeed	169 0.7×	167 1.4×	66 0.6×	61 0.8×	50 0.7×	20	336
Chengfei Pu	194 0.8×	86 0.7×	93 0.8×	28 0.4×	60 0.8×	19	272
Malvina Prapa	192 0.8×	137 1.2×	83 0.7×	83 1.1×	47 0.7×	10	345
Ruirui Jing	195 0.8×	138 1.2×	86 0.7×	57 0.8×	47 0.7×	19	340
Gunjan Dagar	149 0.6×	125 1.1×	62 0.5×	43 0.6×	37 0.5×	16	271
Reyisa Bughda	235 1.0×	112 1.0×	84 0.7×	75 1.0×	39 0.5×	9	306
Irina Ganeeva	209 0.9×	126 1.1×	129 1.1×	50 0.7×	54 0.8×	16	332

Countries citing papers authored by Deanna Langfitt

Since Specialization

Citations

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

Fields of papers citing papers by Deanna Langfitt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deanna Langfitt

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

All Works

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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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