Davis Seelig

2.7k total citations
89 papers, 1.8k citations indexed

About

Davis Seelig is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology and Small Animals. According to data from OpenAlex, Davis Seelig has authored 89 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Pulmonary and Respiratory Medicine, 33 papers in Molecular Biology and 13 papers in Small Animals. Recurrent topics in Davis Seelig's work include Veterinary Oncology Research (21 papers), Prion Diseases and Protein Misfolding (17 papers) and Infectious Diseases and Mycology (10 papers). Davis Seelig is often cited by papers focused on Veterinary Oncology Research (21 papers), Prion Diseases and Protein Misfolding (17 papers) and Infectious Diseases and Mycology (10 papers). Davis Seelig collaborates with scholars based in United States, United Kingdom and Italy. Davis Seelig's co-authors include Edward A. Hoover, Glenn C. Telling, Nicholas J. Haley, Anne C. Avery, Candace K. Mathiason, Jeanette Hayes‐Klug, Mark D. Zabel, Gary L. Mason, Robert J. Warren and Karl V. Miller and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Davis Seelig

80 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Davis Seelig United States 22 1.1k 371 276 212 183 89 1.8k
Christine Hoffmann Germany 24 1.0k 0.9× 138 0.4× 105 0.4× 110 0.5× 16 0.1× 38 2.0k
Michèle Doucet Canada 26 461 0.4× 253 0.7× 62 0.2× 33 0.2× 189 1.0× 79 1.7k
Sarah A. Moore United States 22 966 0.9× 145 0.4× 80 0.3× 25 0.1× 468 2.6× 72 2.8k
Andreas Till Germany 28 1.4k 1.2× 178 0.5× 84 0.3× 155 0.7× 17 0.1× 57 2.9k
Mohamed S. Arredouani United States 22 591 0.5× 426 1.1× 50 0.2× 35 0.2× 48 0.3× 37 2.1k
Lance Miller United States 18 409 0.4× 200 0.5× 38 0.1× 104 0.5× 45 0.2× 36 1.9k
Ricardo M. Gómez Argentina 25 466 0.4× 79 0.2× 100 0.4× 49 0.2× 90 0.5× 76 2.0k
Tsutomu Miyamoto Japan 36 1.4k 1.3× 264 0.7× 305 1.1× 208 1.0× 14 0.1× 144 3.9k
R F Krzesicki United States 22 463 0.4× 99 0.3× 114 0.4× 41 0.2× 55 0.3× 32 1.6k
Satish Devadas India 14 653 0.6× 95 0.3× 99 0.4× 105 0.5× 15 0.1× 22 2.0k

Countries citing papers authored by Davis Seelig

Since Specialization
Citations

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

Fields of papers citing papers by Davis Seelig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davis Seelig

This figure shows the co-authorship network connecting the top 25 collaborators of Davis Seelig. A scholar is included among the top collaborators of Davis Seelig 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 Davis Seelig. Davis Seelig 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.
2.
Wang, Haiguang, Adam Herman, Fanta Barrow, et al.. (2025). Single-cell RNA sequencing reveals a reprogramming of hepatic immune cells and a protective role for B cells in MASH-driven HCC. Hepatology Communications. 9(5). 2 indexed citations
3.
Daniel, Mary R., et al.. (2024). Losmapimod ameliorates doxorubicin-induced cardiotoxicity through attenuating senescence and inflammatory pathways. Biomedicine & Pharmacotherapy. 179. 117288–117288. 5 indexed citations
4.
Marquez, Alexandra, Marinos Kosmopoulos, Tomaž Goslar, et al.. (2024). Mild (34 °C) versus moderate hypothermia (24 °C) in a swine model of extracorporeal cardiopulmonary resuscitation. Resuscitation Plus. 19. 100745–100745.
5.
Demos-Davies, Kimberly, et al.. (2024). Longitudinal Neuropathological Consequences of Extracranial Radiation Therapy in Mice. International Journal of Molecular Sciences. 25(11). 5731–5731. 1 indexed citations
6.
Lawrence, Jessica, Davis Seelig, Kimberly Demos-Davies, et al.. (2024). Radiation dermatitis in the hairless mouse model mimics human radiation dermatitis. Scientific Reports. 14(1). 24819–24819.
7.
Belur, Lalitha R., Kelley F. Kitto, Ou Li, et al.. (2024). Intrathecal or intravenous AAV9-IDUA/RGX-111 at minimal effective dose prevents cardiac, skeletal and neurologic manifestations of murine MPS I. Molecular Therapy — Methods & Clinical Development. 32(4). 101369–101369.
8.
Samuels, Tina L., Beverly R. Wuertz, Davis Seelig, et al.. (2024). Inhaled fosamprenavir for laryngopharyngeal reflux: Toxicology and fluid dynamics modeling. Laryngoscope Investigative Otolaryngology. 9(1). e1219–e1219. 10 indexed citations
9.
10.
Pant, Kishor, Estanislao Peixoto, Jun Yin, et al.. (2023). The NAMPT Inhibitor FK866 in Combination with Cisplatin Reduces Cholangiocarcinoma Cells Growth. Cells. 12(5). 775–775. 10 indexed citations
11.
Seelig, Davis, et al.. (2023). Characterization of alkaline phosphatase cytochemistry in canine neoplastic and non‐neoplastic pulmonary mass aspirates. Veterinary Clinical Pathology. 52(4). 661–669.
12.
Kassie, Fekadu, et al.. (2022). Combinatory lung tumor inhibition by myo-inositol and iloprost/rapamycin: association with immunomodulation. Carcinogenesis. 43(6). 547–556. 3 indexed citations
13.
Seelig, Davis, Joan D. Beckman, Katie M. Minor, et al.. (2022). Targeted sequencing of candidate gene regions for myelofibrosis in dogs. Journal of Veterinary Internal Medicine. 36(4). 1237–1247. 1 indexed citations
14.
Hartono, Stella, Victoria M. Bedell, Sk. Kayum Alam, et al.. (2021). Vascular Endothelial Growth Factor as an Immediate-Early Activator of Ultraviolet-Induced Skin Injury. Mayo Clinic Proceedings. 97(1). 154–164. 14 indexed citations
15.
Stokol, Tracy, Jaime L. Tarigo, Anne C. Avery, et al.. (2020). Multicenter flow cytometry proficiency testing of canine blood and lymph node samples. Veterinary Clinical Pathology. 49(2). 249–257. 10 indexed citations
16.
Avery, Anne C., et al.. (2019). Cytology and the cell block method in diagnostic characterization of canine lymphadenopathy and in the immunophenotyping of nodal lymphoma. Veterinary and Comparative Oncology. 17(3). 365–375. 6 indexed citations
17.
Rendahl, Aaron, Davis Seelig, Michael Day, et al.. (2018). Assessment of eosinophils in gastrointestinal inflammatory disease of dogs. Journal of Veterinary Internal Medicine. 32(6). 1911–1917. 2 indexed citations
18.
Sharkey, Leslie C., et al.. (2018). Evaluation of the diagnostic utility of cytologic examination of renal fine-needle aspirates from dogs and the use of ultrasonographic features to inform cytologic diagnosis. Journal of the American Veterinary Medical Association. 252(10). 1247–1256. 5 indexed citations
19.
Avery, Paul R., Jenna H. Burton, Davis Seelig, et al.. (2014). Flow Cytometric Characterization and Clinical Outcome of CD4+ T-Cell Lymphoma in Dogs: 67 Cases. Journal of Veterinary Internal Medicine. 28(2). 538–546. 50 indexed citations
20.
Mathiason, Candace K., Jenny G. Powers, David A Osborn, et al.. (2006). Infectious Prions in the Saliva and Blood of Deer with Chronic Wasting Disease. Science. 314(5796). 133–136. 390 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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