Robert Werling

1.1k total citations · 1 hit paper
9 papers, 799 citations indexed

About

Robert Werling is a scholar working on Pathology and Forensic Medicine, Oncology and Dermatology. According to data from OpenAlex, Robert Werling has authored 9 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Pathology and Forensic Medicine, 4 papers in Oncology and 3 papers in Dermatology. Recurrent topics in Robert Werling's work include Viral-associated cancers and disorders (2 papers), Fungal Infections and Studies (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). Robert Werling is often cited by papers focused on Viral-associated cancers and disorders (2 papers), Fungal Infections and Studies (2 papers) and Cutaneous lymphoproliferative disorders research (2 papers). Robert Werling collaborates with scholars based in United States. Robert Werling's co-authors include Allen M. Gown, Hadi Yaziji, Carlos E. Bacchi, Harry C. Hwang, S Paul Bajaj, Vincent A. Memoli, Leo R. Zacharski, Sandra M. Rousseau, Walter Kisiel and Cynthia M. Magro and has published in prestigious journals such as The American Journal of Surgical Pathology, Thrombosis and Haemostasis and American Journal of Clinical Pathology.

In The Last Decade

Robert Werling

7 papers receiving 783 citations

Hit Papers

CDX2, a Highly Sensitive and Specific Marker of Adenocarc... 2003 2026 2010 2018 2003 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert Werling United States 7 331 316 224 220 203 9 799
Rigmor Dahlenfors Sweden 19 304 0.9× 473 1.5× 139 0.6× 517 2.4× 213 1.0× 40 1.1k
Beth Z. Clark United States 17 292 0.9× 332 1.1× 75 0.3× 120 0.5× 174 0.9× 47 782
David K. McGregor United States 10 264 0.8× 347 1.1× 78 0.3× 173 0.8× 201 1.0× 15 750
Maria L. Carcangiu United States 21 210 0.6× 413 1.3× 150 0.7× 277 1.3× 138 0.7× 32 1.4k
Jia‐Huei Tsai Taiwan 20 261 0.8× 492 1.6× 87 0.4× 490 2.2× 337 1.7× 54 1.2k
Camilo Adem France 12 260 0.8× 273 0.9× 124 0.6× 131 0.6× 235 1.2× 26 790
Woo‐Ick Yang South Korea 17 499 1.5× 476 1.5× 57 0.3× 125 0.6× 104 0.5× 35 866
Martine Patey France 16 214 0.6× 342 1.1× 93 0.4× 268 1.2× 167 0.8× 55 1.0k
Thu Pham United States 9 281 0.8× 288 0.9× 111 0.5× 95 0.4× 192 0.9× 9 754
Nils Mandahl Sweden 22 254 0.8× 299 0.9× 236 1.1× 129 0.6× 596 2.9× 31 1.2k

Countries citing papers authored by Robert Werling

Since Specialization
Citations

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

Fields of papers citing papers by Robert Werling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert Werling

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

All Works

9 of 9 papers shown
1.
English, Joseph C., et al.. (2022). Pseudocarcinomatous Sweet syndrome. JAAD Case Reports. 26. 73–75.
2.
Werling, Robert, et al.. (2021). Cholesterotic fibrous histiocytoma: Case report and literature review. Journal of Cutaneous Pathology. 48(7). 958–960.
3.
Werling, Robert, et al.. (2015). Cutaneous basal cell carcinosarcoma: case report and literature review. Journal of Cutaneous Pathology. 42(11). 903–910. 18 indexed citations
4.
Magro, Cynthia M., et al.. (2006). Primary Cutaneous CD30+ Large Cell B-Cell Lymphoma. Applied immunohistochemistry & molecular morphology. 14(1). 7–11. 22 indexed citations
5.
Chen, Michael, April Deng, A. Neil Crowson, et al.. (2004). Assessment of T-cell Clonality via T-cell Receptor-γ Rearrangements in Cutaneous T-cell–Dominant Infiltrates Using Polymerase Chain Reaction and Single-stranded DNA Conformational Polymorphism Assay. Applied immunohistochemistry & molecular morphology. 12(4). 373–379. 18 indexed citations
6.
Werling, Robert, Hadi Yaziji, Carlos E. Bacchi, & Allen M. Gown. (2003). CDX2, a Highly Sensitive and Specific Marker of Adenocarcinomas of Intestinal Origin. The American Journal of Surgical Pathology. 27(3). 303–310. 511 indexed citations breakdown →
7.
Werling, Robert, Harry C. Hwang, Hadi Yaziji, & Allen M. Gown. (2003). Immunohistochemical Distinction of Invasive From Noninvasive Breast Lesions. The American Journal of Surgical Pathology. 27(1). 82–90. 115 indexed citations
9.
Werling, Robert, Leo R. Zacharski, Walter Kisiel, et al.. (1993). Distribution of Tissue Factor Pathway Inhibitor in Normal and Malignant Human Tissues. Thrombosis and Haemostasis. 69(4). 366–369. 77 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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