Janel Huffman

415 total citations
7 papers, 130 citations indexed

About

Janel Huffman is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Janel Huffman has authored 7 papers receiving a total of 130 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Oncology, 4 papers in Immunology and 3 papers in Molecular Biology. Recurrent topics in Janel Huffman's work include CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (4 papers) and Asthma and respiratory diseases (2 papers). Janel Huffman is often cited by papers focused on CAR-T cell therapy research (5 papers), Immune Cell Function and Interaction (4 papers) and Asthma and respiratory diseases (2 papers). Janel Huffman collaborates with scholars based in United States, Sweden and Germany. Janel Huffman's co-authors include Greg Bonello, Ryan Bjordahl, Sajid Mahmood, Svetlana Gaidarova, Bahram Valamehr, Ramzey Abujarour, Jeffrey S. Miller, Frank Cichocki, Carole Ober and Edward T. Naureckas and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Janel Huffman

7 papers receiving 130 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Janel Huffman United States	5	87	82	49	16	11	7	130
Alessio Bevilacqua Switzerland	5	52 0.6×	59 0.7×	44 0.9×	12 0.8×	10 0.9×	5	128
Zoran Gajic United States	6	95 1.1×	54 0.7×	106 2.2×	22 1.4×	12 1.1×	9	191
Rachel Marcone Switzerland	5	95 1.1×	100 1.2×	54 1.1×	9 0.6×	6 0.5×	9	163
Sean-Luc Shanahan United States	4	60 0.7×	63 0.8×	64 1.3×	6 0.4×	7 0.6×	6	135
Ashmitaa Logandha Ramamoorthy Premlal United States	7	87 1.0×	161 2.0×	84 1.7×	6 0.4×	9 0.8×	10	200
Nina Burgdorf France	3	64 0.7×	119 1.5×	86 1.8×	15 0.9×	5 0.5×	3	190
Zeno Riester Germany	3	99 1.1×	169 2.1×	95 1.9×	10 0.6×	4 0.4×	4	217
Carlos R. Garcia-Batres Canada	8	117 1.3×	143 1.7×	46 0.9×	9 0.6×	4 0.4×	9	215
Salvatore Vitelli United States	2	55 0.6×	39 0.5×	107 2.2×	20 1.3×	4 0.4×	2	146
Ekaterina Postovalova United States	6	33 0.4×	27 0.3×	27 0.6×	15 0.9×	9 0.8×	25	98

Countries citing papers authored by Janel Huffman

Since Specialization

Citations

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

Fields of papers citing papers by Janel Huffman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Janel Huffman

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

All Works

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7 of 7 papers shown

Magnaye, Kevin M., Jessie Nicodemus‐Johnson, Katherine A. Naughton, et al.. (2022). DNA methylation signatures in airway cells from adult children of asthmatic mothers reflect subtypes of severe asthma. Proceedings of the National Academy of Sciences. 119(24). e2116467119–e2116467119. 18 indexed citations

Cichocki, Frank, Ryan Bjordahl, Sajid Mahmood, et al.. (2022). Dual antigen–targeted off-the-shelf NK cells show durable response and prevent antigen escape in lymphoma and leukemia. Blood. 140(23). 2451–2462. 58 indexed citations

Magnaye, Kevin M., Katherine A. Naughton, Janel Huffman, et al.. (2021). A-to-I editing of miR-200b-3p in airway cells is associated with moderate-to-severe asthma. European Respiratory Journal. 58(1). 2003862–2003862. 12 indexed citations

Bjordahl, Ryan, John Goulding, Mochtar Pribadi, et al.. (2020). Development of a Novel MICA/B-Specific CAR As a Pan-Tumor Targeting Strategy for Off-the-Shelf, Cell-Based Cancer Immunotherapy. Blood. 136(Supplement 1). 5–6. 2 indexed citations

Goulding, John, Mochtar Pribadi, Robert Blum, et al.. (2020). 114 Preclinical development of a novel iPSC-derived CAR-MICA/B NK cell immunotherapy to overcome solid tumor escape from NKG2D-mediated mechanisms of recognition and killing. SHILAP Revista de lepidopterología. A70.2–A71. 1 indexed citations

Bjordahl, Ryan, Svetlana Gaidarova, Karrune Woan, et al.. (2019). FT538: Preclinical Development of an Off-the-Shelf Adoptive NK Cell Immunotherapy with Targeted Disruption of CD38 to Prevent Anti-CD38 Antibody-Mediated Fratricide and Enhance ADCC in Multiple Myeloma When Combined with Daratumumab. Blood. 134(Supplement_1). 133–133. 13 indexed citations

Bjordahl, Ryan, Svetlana Gaidarova, Jode Goodridge, et al.. (2019). FT576: A Novel Multiplexed Engineered Off-the-Shelf Natural Killer Cell Immunotherapy for the Dual-Targeting of CD38 and Bcma for the Treatment of Multiple Myeloma. Blood. 134(Supplement_1). 3214–3214. 26 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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