Christopher Shipp

431 total citations
20 papers, 317 citations indexed

About

Christopher Shipp is a scholar working on Oncology, Immunology and Molecular Biology. According to data from OpenAlex, Christopher Shipp has authored 20 papers receiving a total of 317 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Immunology and 6 papers in Molecular Biology. Recurrent topics in Christopher Shipp's work include Immune cells in cancer (4 papers), Heat shock proteins research (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Christopher Shipp is often cited by papers focused on Immune cells in cancer (4 papers), Heat shock proteins research (4 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Christopher Shipp collaborates with scholars based in Germany, United States and Canada. Christopher Shipp's co-authors include Graham Pawelec, Paul F. Jacques, Bess Dawson‐Hughes, Nicole Janssen, Alexander Martens, Evelyna Derhovanessian, Jithendra Kini Bailur, Nicole Schneiderhan‐Marra, Meike Jakobi and Benjamin Weide and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Christopher Shipp

19 papers receiving 311 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christopher Shipp Germany 10 115 103 89 59 45 20 317
Uddipan Sarma India 11 65 0.6× 152 1.5× 244 2.7× 32 0.5× 22 0.5× 25 421
Jiayao Fu China 11 87 0.8× 42 0.4× 217 2.4× 16 0.3× 127 2.8× 29 455
M. Ikram Khatkhatay India 13 30 0.3× 92 0.9× 193 2.2× 206 3.5× 37 0.8× 33 426
Sandra Sousa United States 9 72 0.6× 142 1.4× 289 3.2× 55 0.9× 15 0.3× 11 431
Wataru Fujii Japan 11 213 1.9× 43 0.4× 128 1.4× 13 0.2× 35 0.8× 24 424
Yiran Wang China 9 38 0.3× 56 0.5× 67 0.8× 22 0.4× 6 0.1× 40 250
Salima Challal France 4 82 0.7× 37 0.4× 80 0.9× 10 0.2× 20 0.4× 8 301
Heike Weidner Germany 11 25 0.2× 43 0.4× 103 1.2× 42 0.7× 26 0.6× 17 278
JM Li China 9 39 0.3× 44 0.4× 283 3.2× 14 0.2× 14 0.3× 22 483
Н. Д. Газатова Russia 10 85 0.7× 44 0.4× 93 1.0× 5 0.1× 47 1.0× 38 321

Countries citing papers authored by Christopher Shipp

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Shipp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Shipp

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Shipp. A scholar is included among the top collaborators of Christopher Shipp 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 Christopher Shipp. Christopher Shipp 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.
Gammon, Richard R., et al.. (2025). An international survey of patient blood management practices. Transfusion. 65(3). 505–513.
2.
Janssen, Nicole, et al.. (2023). Putative Cancer Stem Cell Markers are Frequently Expressed by Melanoma Cells in Vitro and in Situ but are also Present in Benign Differentiated Cells. Frontiers in Bioscience-Landmark. 28(9). 193–193. 5 indexed citations
3.
Marzi, Julia, Eva Brauchle, Daniel A. Carvajal Berrio, et al.. (2021). Lipidome profiling with Raman microspectroscopy identifies macrophage response to surface topographies of implant materials. Proceedings of the National Academy of Sciences. 118(52). 28 indexed citations
4.
Walter, Bernadette P., Sandra Maier, Meike Jakobi, et al.. (2021). Altered Proinflammatory Responses to Polyelectrolyte Multilayer Coatings Are Associated with Differences in Protein Adsorption and Wettability. ACS Applied Materials & Interfaces. 13(46). 55534–55549. 13 indexed citations
5.
6.
Ghosh, Michael, Hanna Hartmann, Meike Jakobi, et al.. (2020). The Impact of Biomaterial Cell Contact on the Immunopeptidome. Frontiers in Bioengineering and Biotechnology. 8. 571294–571294. 5 indexed citations
7.
Daum, Ruben, et al.. (2020). Macrophage retrieval from 3D biomaterials: A detailed comparison of common dissociation methods. 11. 100035–100035. 4 indexed citations
8.
Martens, Alexander, Graham Pawelec, & Christopher Shipp. (2019). Expansion and Determination of Antigen-Reactive T Cells by Flow Cytometry. Methods in molecular biology. 1913. 141–151. 2 indexed citations
9.
10.
Janssen, Nicole, Sigrid Hatse, Barbara Brouwers, et al.. (2018). Low levels of intra-tumoural T cells in breast cancer identify clinically frail patients with shorter disease-specific survival. Journal of Geriatric Oncology. 9(6). 606–612. 6 indexed citations
11.
Janssen, Nicole, et al.. (2018). Inhibiting HSP90 prevents the induction of myeloid-derived suppressor cells by melanoma cells. Cellular Immunology. 327. 68–76. 10 indexed citations
12.
Bailur, Jithendra Kini, Graham Pawelec, Sigrid Hatse, et al.. (2017). Immune profiles of elderly breast cancer patients are altered by chemotherapy and relate to clinical frailty. Breast Cancer Research. 19(1). 20–20. 29 indexed citations
13.
Bailur, Jithendra Kini, et al.. (2017). CD14+ HLA-DR−/low MDSCs are elevated in the periphery of early-stage breast cancer patients and suppress autologous T cell proliferation. Breast Cancer Research and Treatment. 168(2). 401–411. 16 indexed citations
14.
Janssen, Nicole, Sotirios P. Fortis, Nectaria N. Sotiriadou, et al.. (2016). Peripheral T cell responses to tumour antigens are associated with molecular, immunogenetic and cellular features of breast cancer patients. Breast Cancer Research and Treatment. 161(1). 51–62. 7 indexed citations
15.
Shipp, Christopher, et al.. (2016). A clinical and biological perspective of human myeloid-derived suppressor cells in cancer. Cellular and Molecular Life Sciences. 73(21). 4043–4061. 53 indexed citations
16.
Shipp, Christopher, Benjamin Weide, Evelyna Derhovanessian, & Graham Pawelec. (2012). Hsps are up-regulated in melanoma tissue and correlate with patient clinical parameters. Cell Stress and Chaperones. 18(2). 145–154. 19 indexed citations
17.
Shipp, Christopher, Evelyna Derhovanessian, & Graham Pawelec. (2012). Effect of Culture at Low Oxygen Tension on the Expression of Heat Shock Proteins in a Panel of Melanoma Cell Lines. PLoS ONE. 7(6). e37475–e37475. 10 indexed citations
18.
Shipp, Christopher, Kenneth Watson, & Graham L. Jones. (2011). Associations of HSP90 client proteins in human breast cancer.. PubMed. 31(6). 2095–101. 12 indexed citations
19.
Honig, Eric, et al.. (1997). Initial antibiotic management of community acquired pneumonia.. PubMed. 86(2). 105–8. 3 indexed citations
20.
Dawson‐Hughes, Bess, Paul F. Jacques, & Christopher Shipp. (1987). Dietary calcium intake and bone loss from the spine in healthy postmenopausal women. American Journal of Clinical Nutrition. 46(4). 685–687. 84 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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