John Van Arnam

1.6k total citations
9 papers, 242 citations indexed

About

John Van Arnam is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Surgery. According to data from OpenAlex, John Van Arnam has authored 9 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pulmonary and Respiratory Medicine, 3 papers in Oncology and 2 papers in Surgery. Recurrent topics in John Van Arnam's work include AI in cancer detection (2 papers), Neonatal Respiratory Health Research (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). John Van Arnam is often cited by papers focused on AI in cancer detection (2 papers), Neonatal Respiratory Health Research (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). John Van Arnam collaborates with scholars based in United States and Croatia. John Van Arnam's co-authors include Erica L. Herzog, Diane S. Krause, Buqu Hu, Ezra Baraban, Ann M. Haberman, Yanjia J. Zhang, Qingsheng Chen, Sam Sadigh, Agata M. Bogusz and Adam Bagg and has published in prestigious journals such as The FASEB Journal, Stem Cells and British Journal of Haematology.

In The Last Decade

John Van Arnam

9 papers receiving 238 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Van Arnam United States	7	97	76	74	66	33	9	242
Mufaddal Moonim United Kingdom	10	113 1.2×	45 0.6×	87 1.2×	94 1.4×	38 1.2×	37	376
Vipul Rathore United States	9	65 0.7×	30 0.4×	87 1.2×	17 0.3×	47 1.4×	14	431
Francesca Pagliuca Italy	12	67 0.7×	45 0.6×	112 1.5×	132 2.0×	64 1.9×	42	357
Etienne Mahé Canada	10	31 0.3×	47 0.6×	50 0.7×	86 1.3×	61 1.8×	36	345
Dayang Hui China	8	67 0.7×	66 0.9×	79 1.1×	116 1.8×	51 1.5×	13	285
П.Г. Мальков Russia	7	54 0.6×	35 0.5×	54 0.7×	112 1.7×	60 1.8×	61	267
Leland Metheny United States	13	30 0.3×	107 1.4×	52 0.7×	170 2.6×	120 3.6×	78	442
Jorge Pinheiro Portugal	8	34 0.4×	21 0.3×	57 0.8×	43 0.7×	50 1.5×	33	220

Countries citing papers authored by John Van Arnam

Since Specialization

Citations

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

Fields of papers citing papers by John Van Arnam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Van Arnam. 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 John Van Arnam. The network helps show where John Van Arnam may publish in the future.

Co-authorship network of co-authors of John Van Arnam

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

All Works

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9 of 9 papers shown

McIntire, Patrick J., et al.. (2023). TRPS1, a New Promising Marker for Assessment of Distant Metastatic Breast Cancer. Advances in Anatomic Pathology. 30(6). 380–387. 5 indexed citations

Abousamra, Shahira, John Van Arnam, Felicia D. Allard, et al.. (2021). Multi-Class Cell Detection Using Spatial Context Representation. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2021. 3985–3994. 27 indexed citations

Ko, Jennifer S., Zlatko Marušić, Elizabeth M. Azzato, et al.. (2020). Superficial sarcomas with CIC rearrangement are aggressive neoplasms: A series of eight cases. Journal of Cutaneous Pathology. 47(6). 509–516. 25 indexed citations

Gupta, Rajarsi, John Van Arnam, Mahmudul Hasan, et al.. (2020). Characterizing Immune Responses in Whole Slide Images of Cancer With Digital Pathology and Pathomics. Current Pathobiology Reports. 8(4). 133–148. 5 indexed citations

Baraban, Ezra, Sam Sadigh, Jason N. Rosenbaum, et al.. (2019). Cyclin D1 expression and novel mutational findings in Rosai‐Dorfman disease. British Journal of Haematology. 186(6). 837–844. 34 indexed citations

Sagiv, Oded, Jonathan L. Curry, Jing Ning, et al.. (2018). High expression of PD-1 and PD-L1 in ocular adnexal sebaceous carcinoma. OncoImmunology. 7(9). e1475874–e1475874. 23 indexed citations

Oba, Junna, Sun‐Hee Kim, Wei‐Lien Wang, et al.. (2018). Targeting the HGF/MET Axis Counters Primary Resistance to KIT Inhibition in KIT-Mutant Melanoma. JCO Precision Oncology. 2018(2). 1–8. 10 indexed citations

Herzog, Erica L., John Van Arnam, Buqu Hu, et al.. (2007). Lung‐specific nuclear reprogramming is accompanied by heterokaryon formation and Y chromosome loss following bone marrow transplantation and secondary inflammation. The FASEB Journal. 21(10). 2592–2601. 34 indexed citations

Herzog, Erica L., John Van Arnam, Buqu Hu, & Diane S. Krause. (2006). Threshold of Lung Injury Required for the Appearance of Marrow‐Derived Lung Epithelia. Stem Cells. 24(8). 1986–1992. 79 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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