Tamara Handerson

436 total citations
8 papers, 335 citations indexed

About

Tamara Handerson is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Tamara Handerson has authored 8 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Tamara Handerson's work include Glycosylation and Glycoproteins Research (4 papers), Immunotherapy and Immune Responses (2 papers) and Immune cells in cancer (2 papers). Tamara Handerson is often cited by papers focused on Glycosylation and Glycoproteins Research (4 papers), Immunotherapy and Immune Responses (2 papers) and Immune cells in cancer (2 papers). Tamara Handerson collaborates with scholars based in United States and Japan. Tamara Handerson's co-authors include John M. Pawelek, David L. Rimm, Robert L. Camp, Malini Harigopal, David J. Leffell, Reena Rupani, Douglas E. Brash, Rossitza Lazova, Jennifer M. McNiff and Earl J. Glusac and has published in prestigious journals such as Clinical Cancer Research, Cancer Epidemiology Biomarkers & Prevention and Journal of Cutaneous Pathology.

In The Last Decade

Tamara Handerson

8 papers receiving 321 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tamara Handerson United States	8	184	120	113	50	46	8	335
Ryan R. Falsey United States	7	215 1.2×	25 0.2×	46 0.4×	36 0.7×	18 0.4×	10	340
Anne K. Kristensen Denmark	7	352 1.9×	121 1.0×	38 0.3×	13 0.3×		8	450
Simone Schleeger Switzerland	6	216 1.2×	64 0.5×	63 0.6×	9 0.2×		6	337
John Astle United States	8	230 1.3×	52 0.4×	88 0.8×	19 0.4×		17	350
T Tone United States	7	326 1.8×	29 0.2×	135 1.2×	10 0.2×		12	442
J. Lee United States	5	161 0.9×	69 0.6×	75 0.7×	40 0.8×		7	285
John Kimura United States	10	209 1.1×	449 3.7×	84 0.7×	19 0.4×		14	642
Toni M. Yeasky United States	10	239 1.3×	22 0.2×	80 0.7×	19 0.4×		14	317
P Dent United States	6	169 0.9×	82 0.7×	184 1.6×	7 0.1×		7	345
Joe Nguyen United States	10	144 0.8×	34 0.3×	25 0.2×	25 0.5×		20	296

Countries citing papers authored by Tamara Handerson

Since Specialization

Citations

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

Fields of papers citing papers by Tamara Handerson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamara Handerson

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

All Works

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8 of 8 papers shown

1.

Pawelek, John M., et al.. (2006). Co-Opting Macrophage Traits in Cancer Progression: A Consequence of Tumor Cell Fusion?. PubMed. 13. 138–155. 36 indexed citations

2.

Handerson, Tamara, Aaron J. Berger, David L. Rimm, et al.. (2006). Melanophages reside in hypermelanotic, aberrantly glycosylated tumor areas and predict improved outcome in primary cutaneous malignant melanoma. Journal of Cutaneous Pathology. 34(9). 679–686. 16 indexed citations

3.

Siddiqui, Summar, John M. Pawelek, Tamara Handerson, et al.. (2005). Coexpression of β1,6-N-Acetylglucosaminyltransferase V Glycoprotein Substrates Defines Aggressive Breast Cancers with Poor Outcome. Cancer Epidemiology Biomarkers & Prevention. 14(11). 2517–2523. 31 indexed citations

4.

Handerson, Tamara, Robert L. Camp, Malini Harigopal, David L. Rimm, & John M. Pawelek. (2005). β1,6-Branched Oligosaccharides Are Increased in Lymph Node Metastases and Predict Poor Outcome in Breast Carcinoma. Clinical Cancer Research. 11(8). 2969–2973. 100 indexed citations

5.

Lazova, Rossitza, et al.. (2004). The characteristic histopathologic features of nevi on and around the ear. Journal of Cutaneous Pathology. 32(1). 40–44. 24 indexed citations

6.

Rupani, Reena, Tamara Handerson, & John M. Pawelek. (2004). Co‐localization of β1,6‐branched Oligosaccharides and Coarse Melanin in Macrophage–Melanoma Fusion Hybrids and Human Melanoma Cells In Vitro. Pigment Cell Research. 17(3). 281–288. 19 indexed citations

7.

Leffell, David J., et al.. (2003). Massive Pseudoepitheliomatous Hyperplasia: An Unusual Reaction to a Tattoo. American Journal of Dermatopathology. 25(4). 338–340. 52 indexed citations

8.

Handerson, Tamara & John M. Pawelek. (2003). Beta1,6-branched oligosaccharides and coarse vesicles: a common, pervasive phenotype in melanoma and other human cancers.. PubMed. 63(17). 5363–9. 57 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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