Daniel J. Rowan

743 total citations
30 papers, 523 citations indexed

About

Daniel J. Rowan is a scholar working on Oncology, Surgery and Epidemiology. According to data from OpenAlex, Daniel J. Rowan has authored 30 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 6 papers in Surgery and 5 papers in Epidemiology. Recurrent topics in Daniel J. Rowan's work include Pancreatic and Hepatic Oncology Research (6 papers), Lysosomal Storage Disorders Research (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). Daniel J. Rowan is often cited by papers focused on Pancreatic and Hepatic Oncology Research (6 papers), Lysosomal Storage Disorders Research (4 papers) and Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers). Daniel J. Rowan collaborates with scholars based in United States, United Kingdom and Australia. Daniel J. Rowan's co-authors include Shunji Tomatsu, Adriana M. Montaño, William S. Sly, Mihir M. Thacker, H. Oikawa, Yasuyuki Suzuki, Stephanie Woo, Jeffrey H. Grubb, Timothy M. Gómez and T Orii and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and Gastroenterology.

In The Last Decade

Daniel J. Rowan

28 papers receiving 517 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel J. Rowan United States 10 284 151 97 67 64 30 523
Elizabeth Spellacy United Kingdom 14 298 1.0× 132 0.9× 127 1.3× 208 3.1× 75 1.2× 19 604
Rabab Debs France 12 84 0.3× 36 0.2× 26 0.3× 114 1.7× 41 0.6× 25 486
Paula Goldenberg United States 11 258 0.9× 370 2.5× 126 1.3× 571 8.5× 30 0.5× 24 957
Yasuhiro Nishiyama United States 14 110 0.4× 51 0.3× 57 0.6× 210 3.1× 8 0.1× 24 535
Hyun Taek Lim South Korea 15 38 0.1× 123 0.8× 28 0.3× 144 2.1× 46 0.7× 52 588
Hyon J. Kim South Korea 14 60 0.2× 31 0.2× 57 0.6× 191 2.9× 49 0.8× 28 532
Andrew W. Seymour United States 8 102 0.4× 108 0.7× 36 0.4× 435 6.5× 78 1.2× 18 626
Haijiao Zhao China 13 229 0.8× 45 0.3× 11 0.1× 225 3.4× 102 1.6× 28 782
Ola Grimsholm Sweden 17 69 0.2× 53 0.4× 70 0.7× 232 3.5× 10 0.2× 26 737
Christine Abreu United States 14 85 0.3× 43 0.3× 62 0.6× 396 5.9× 36 0.6× 18 682

Countries citing papers authored by Daniel J. Rowan

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Rowan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel J. Rowan. 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 Daniel J. Rowan. The network helps show where Daniel J. Rowan may publish in the future.

Co-authorship network of co-authors of Daniel J. Rowan

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

All Works

20 of 20 papers shown
1.
Rowan, Daniel J., Kiran K. Mangalaparthi, Roger K. Moreira, et al.. (2021). Metallothionein immunohistochemistry has high sensitivity and specificity for detection of Wilson disease. Modern Pathology. 35(7). 946–955. 13 indexed citations
2.
Rowan, Daniel J., Saba Yasir, Zongming E. Chen, et al.. (2021). Morphologic and Molecular Findings in Myxoid Hepatic Adenomas. The American Journal of Surgical Pathology. 45(8). 1098–1107. 10 indexed citations
3.
Rowan, Daniel J., Daniela Allende, Andrew M. Bellizzi, et al.. (2021). Diagnostic challenges of focal nodular hyperplasia: interobserver variability, accuracy, and the utility of glutamine synthetase immunohistochemistry. Histopathology. 79(5). 791–800. 8 indexed citations
4.
Rowan, Daniel J., Christopher Hartley, Mohammed Aldakkak, et al.. (2020). Gross tumor size using the AJCC 8th ed. T staging criteria does not provide prognostic stratification for neoadjuvant treated pancreatic ductal adenocarcinoma. Annals of Diagnostic Pathology. 46. 151485–151485. 7 indexed citations
5.
Rowan, Daniel J., Christopher L. Welle, & Samar M. Said. (2020). An Unusual Cause of Chronic Diarrhea. Gastroenterology. 159(1). 39–41.
6.
7.
Hartley, Christopher, et al.. (2020). Increased SPARC expression is associated with neoadjuvant therapy in resectable pancreatic ductal adenocarcinoma. Practical Laboratory Medicine. 21. e00171–e00171. 5 indexed citations
8.
Vasilev, Martin R., Simon P. Liversedge, Daniel J. Rowan, Julie A. Kirkby, & Bernhard Angele. (2019). Reading is disrupted by intelligible background speech: Evidence from eye-tracking.. Journal of Experimental Psychology Human Perception & Performance. 45(11). 1484–1512. 20 indexed citations
9.
Klomjit, Nattawat, Daniel J. Rowan, Andrea G. Kattah, Irina Bancos, & Sandra J. Taler. (2019). New-Onset Resistant Hypertension in a Newly Diagnosed Prostate Cancer Patient. American Journal of Hypertension. 32(12). 1214–1217. 5 indexed citations
10.
11.
Rowan, Daniel J., et al.. (2017). Liver biopsy findings in patients with hematopoietic cell transplantation. Human Pathology. 66. 136–143. 3 indexed citations
12.
13.
Rowan, Daniel J., Shunji Tomatsu, Jeffrey H. Grubb, Adriana M. Montaño, & William S. Sly. (2012). Assessment of bone dysplasia by micro‐CT and glycosaminoglycan levels in mouse models for mucopolysaccharidosis type I, IIIA, IVA, and VII. Journal of Inherited Metabolic Disease. 36(2). 235–246. 64 indexed citations
14.
Allen, Robert, et al.. (2012). Range dependent characteristics in the head-related transfer functions of a bat-head cast: part 1. Monaural characteristics. Bioinspiration & Biomimetics. 7(4). 46014–46014. 3 indexed citations
15.
Rowan, Daniel J., Shunji Tomatsu, Jeffrey H. Grubb, et al.. (2012). Long circulating enzyme replacement therapy rescues bone pathology in mucopolysaccharidosis VII murine model. Molecular Genetics and Metabolism. 107(1-2). 161–172. 31 indexed citations
16.
Tomatsu, Shunji, Adriana M. Montaño, H. Oikawa, et al.. (2011). Mucopolysaccharidosis Type IVA (Morquio A Disease): Clinical Review and Current Treatment: A Special Review. Current Pharmaceutical Biotechnology. 12(6). 931–945. 163 indexed citations
17.
Papadopoulos, Timos, David S. Edwards, Daniel J. Rowan, & Robert Allen. (2011). Identification of auditory cues utilized in human echolocation—Objective measurement results. Biomedical Signal Processing and Control. 6(3). 280–290. 17 indexed citations
18.
Denham, James W., David Joseph, David S. Lamb, et al.. (2011). 7104 ORAL Bone Mineral Density Loss and Fractures in the TROG 03.04 (RADAR) Trial. European Journal of Cancer. 47. S505–S505. 1 indexed citations
19.
Woo, Stephanie, Daniel J. Rowan, & Timothy M. Gómez. (2009). Retinotopic Mapping Requires Focal Adhesion Kinase-Mediated Regulation of Growth Cone Adhesion. Journal of Neuroscience. 29(44). 13981–13991. 48 indexed citations
20.
Rowan, Daniel J. & Mark E. Lutman. (2005). Generalisation of learning with ITD discrimination across frequency and type of cue. ePrints Soton (University of Southampton). 2 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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