Travis J. Hollmann

14.6k total citations
46 papers, 1.8k citations indexed

About

Travis J. Hollmann is a scholar working on Oncology, Molecular Biology and Immunology. According to data from OpenAlex, Travis J. Hollmann has authored 46 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 15 papers in Molecular Biology and 12 papers in Immunology. Recurrent topics in Travis J. Hollmann's work include Cutaneous Melanoma Detection and Management (9 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Cutaneous lymphoproliferative disorders research (6 papers). Travis J. Hollmann is often cited by papers focused on Cutaneous Melanoma Detection and Management (9 papers), Cancer Immunotherapy and Biomarkers (9 papers) and Cutaneous lymphoproliferative disorders research (6 papers). Travis J. Hollmann collaborates with scholars based in United States, Chile and United Kingdom. Travis J. Hollmann's co-authors include Jason L. Hornick, Klaus J. Busam, Cecilia Lezcano, Achim A. Jungbluth, Kishwer S. Nehal, Judith V.M.G. Bovée, Christopher D.�M. Fletcher, Meera Hameed, Alexander N. Shoushtari and Charlotte E. Ariyan and has published in prestigious journals such as Journal of Clinical Investigation, SHILAP Revista de lepidopterología and Clinical Cancer Research.

In The Last Decade

Travis J. Hollmann

46 papers receiving 1.8k citations

Peers

Travis J. Hollmann
Christian A. Kunder United States
Robert J. Marinelli United States
Deborah F. DeLair United States
Kristian Ikenberg Switzerland
So Young Kang South Korea
Travis J. Hollmann
Citations per year, relative to Travis J. Hollmann Travis J. Hollmann (= 1×) peers Moira Ragazzi

Countries citing papers authored by Travis J. Hollmann

Since Specialization
Citations

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

Fields of papers citing papers by Travis J. Hollmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Travis J. Hollmann

This figure shows the co-authorship network connecting the top 25 collaborators of Travis J. Hollmann. A scholar is included among the top collaborators of Travis J. Hollmann 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 Travis J. Hollmann. Travis J. Hollmann 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.
Geller, Shamir, et al.. (2025). CCR8 Immunohistochemistry Highlights CCR8 as a Diagnostic and Therapeutic Biomarker in Cutaneous T-Cell Lymphoma. Journal of Investigative Dermatology. 145(12). 3231–3233.e2. 1 indexed citations
2.
Pourmaleki, Maryam, Priyadarshini Kumar, Miguel Foronda, et al.. (2024). Multiplexed Spatial Profiling of Hodgkin Reed–Sternberg Cell Neighborhoods in Classic Hodgkin Lymphoma. Clinical Cancer Research. 30(17). 3881–3893. 7 indexed citations
3.
Pourmaleki, Maryam, Nicholas D. Socci, Travis J. Hollmann, & Ingo K. Mellinghoff. (2023). Moving Spatially Resolved Multiplexed Protein Profiling toward Clinical Oncology. Cancer Discovery. 13(4). 824–828. 4 indexed citations
4.
Tagore, Mohita, Nelly M. Cruz, Laura Menocal, et al.. (2023). GABA Regulates Electrical Activity and Tumor Initiation in Melanoma. Cancer Discovery. 13(10). 2270–2291. 24 indexed citations
5.
Li, Yanyun, Yubin Xie, Mianlei Zhang, et al.. (2023). Cross-platform dataset of multiplex fluorescent cellular object image annotations. Scientific Data. 10(1). 193–193. 4 indexed citations
6.
Vanguri, R., James W. Smithy, Yanyun Li, et al.. (2023). Integration of peripheral blood‐ and tissue‐based biomarkers of response to immune checkpoint blockade in urothelial carcinoma. The Journal of Pathology. 261(3). 349–360. 6 indexed citations
7.
Smithy, James W., Yanyun Li, Andrea P. Moy, et al.. (2023). 1303 Spatial topic modeling of tumor microenvironment with multiplexed imaging. SHILAP Revista de lepidopterología. A1448–A1448. 1 indexed citations
8.
Friedman, Claire F., Christine N. Spencer, Christopher R. Cabanski, et al.. (2022). Ipilimumab alone or in combination with nivolumab in patients with advanced melanoma who have progressed or relapsed on PD-1 blockade: clinical outcomes and translational biomarker analyses. Journal for ImmunoTherapy of Cancer. 10(1). e003853–e003853. 30 indexed citations
9.
Li, Yanyun, Arie Kaufman, R. Vanguri, et al.. (2022). Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification. Nature Machine Intelligence. 4(4). 401–412. 65 indexed citations
10.
Guercio, Brendan J., Gopa Iyer, Wajih Zaheer Kidwai, et al.. (2021). Treatment of Metastatic Extramammary Paget Disease with Combination Ipilimumab and Nivolumab: A Case Report. Case Reports in Oncology. 14(1). 430–438. 14 indexed citations
11.
Gounder, Mrinal M., Guo Zhu, Eric Lis, et al.. (2019). Immunologic Correlates of the Abscopal Effect in a SMARCB1/INI1-negative Poorly Differentiated Chordoma after EZH2 Inhibition and Radiotherapy. Clinical Cancer Research. 25(7). 2064–2071. 61 indexed citations
12.
Huang, Yun-Han, Jing Hu, Fei Chen, et al.. (2019). ID1 Mediates Escape from TGFβ Tumor Suppression in Pancreatic Cancer. Cancer Discovery. 10(1). 142–157. 49 indexed citations
13.
Hedayat, A., Travis J. Hollmann, Michael A. Marchetti, et al.. (2019). Gram‐negative cutaneous infections with unique filamentous forms. Journal of Cutaneous Pathology. 46(6). 459–462. 1 indexed citations
14.
Lezcano, Cecilia, Melissa Pulitzer, Andrea P. Moy, et al.. (2019). Immunohistochemistry for PRAME in the Distinction of Nodal Nevi From Metastatic Melanoma. The American Journal of Surgical Pathology. 44(4). 503–508. 78 indexed citations
15.
Lezcano, Cecilia, Achim A. Jungbluth, Kishwer S. Nehal, Travis J. Hollmann, & Klaus J. Busam. (2018). PRAME Expression in Melanocytic Tumors. The American Journal of Surgical Pathology. 42(11). 1456–1465. 245 indexed citations
16.
Lindsay, Helen, Alexa Burger, Nathaniel R. Campbell, et al.. (2018). Cancer modeling by Transgene Electroporation in Adult Zebrafish (TEAZ). Disease Models & Mechanisms. 11(9). 38 indexed citations
17.
Wiesner, Thomas, Maija Kiuru, Sasinya N. Scott, et al.. (2015). NF1 Mutations Are Common in Desmoplastic Melanoma. The American Journal of Surgical Pathology. 39(10). 1357–1362. 79 indexed citations
18.
Jakubowski, Ann A., Mario E. Lacouture, Travis J. Hollmann, et al.. (2015). Histopathologic Features of Cutaneous Acute Graft-Versus-Host Disease in T-Cell–Depleted Peripheral Blood Stem Cell Transplant Recipients. American Journal of Dermatopathology. 37(7). 523–529. 11 indexed citations
19.
Hollmann, Travis J. & Jason L. Hornick. (2011). INI1-Deficient Tumors. The American Journal of Surgical Pathology. 35(10). e47–e63. 293 indexed citations
20.
Hollmann, Travis J., Thomas Brenn, & Jason L. Hornick. (2008). CD25 Expression on Cutaneous Mast Cells From Adult Patients Presenting With Urticaria Pigmentosa is Predictive of Systemic Mastocytosis. The American Journal of Surgical Pathology. 32(1). 139–145. 27 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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