Peter J. Volberding

546 total citations
9 papers, 192 citations indexed

About

Peter J. Volberding is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Immunology. According to data from OpenAlex, Peter J. Volberding has authored 9 papers receiving a total of 192 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Immunology. Recurrent topics in Peter J. Volberding's work include Cancer Mechanisms and Therapy (3 papers), Immune Cell Function and Interaction (3 papers) and Immune cells in cancer (2 papers). Peter J. Volberding is often cited by papers focused on Cancer Mechanisms and Therapy (3 papers), Immune Cell Function and Interaction (3 papers) and Immune cells in cancer (2 papers). Peter J. Volberding collaborates with scholars based in United States, France and Switzerland. Peter J. Volberding's co-authors include Weiguo Cui, Paytsar Topchyan, Ryan Zander, Balaraman Kalyanaraman, Micaël Hardy, Gang Cheng, Joseph C. Besharse, Brian A. Link, Gang Xin and Ross F. Collery and has published in prestigious journals such as Journal of Virology, Scientific Reports and Cell Reports.

In The Last Decade

Peter J. Volberding

9 papers receiving 188 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter J. Volberding United States	8	94	53	43	40	23	9	192
Roya Khorram Iran	5	137 1.5×	62 1.2×	84 2.0×	41 1.0×	10 0.4×	15	275
Christina Kalderén Sweden	10	133 1.4×	54 1.0×	59 1.4×	43 1.1×	20 0.9×	13	254
Robert J. Van Gulick United States	9	129 1.4×	68 1.3×	122 2.8×	29 0.7×	22 1.0×	14	242
Jun Won Park South Korea	11	129 1.4×	40 0.8×	59 1.4×	34 0.8×	20 0.9×	29	245
Mary C. Beytagh United States	4	154 1.6×	70 1.3×	131 3.0×	73 1.8×	23 1.0×	5	277
Brant Firestone United States	5	116 1.2×	86 1.6×	79 1.8×	29 0.7×	43 1.9×	9	197
Annalisa Conti Italy	7	211 2.2×	72 1.4×	93 2.2×	46 1.1×	15 0.7×	9	276
Karina Vázquez-Arreguín United States	6	88 0.9×	19 0.4×	58 1.3×	35 0.9×	11 0.5×	10	180
Xinrui Rao China	11	159 1.7×	59 1.1×	86 2.0×	67 1.7×	15 0.7×	19	270
Chunlan Hua China	9	147 1.6×	38 0.7×	32 0.7×	60 1.5×	17 0.7×	12	234

Countries citing papers authored by Peter J. Volberding

Since Specialization

Citations

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

Fields of papers citing papers by Peter J. Volberding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter J. Volberding

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

All Works

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9 of 9 papers shown

Xin, Gang, Chen Yao, Paytsar Topchyan, et al.. (2021). Targeting PIM1-Mediated Metabolism in Myeloid Suppressor Cells to Treat Cancer. Cancer Immunology Research. 9(4). 454–469. 38 indexed citations

Volberding, Peter J., Gang Xin, Moujtaba Y. Kasmani, et al.. (2021). Suppressive neutrophils require PIM1 for metabolic fitness and survival during chronic viral infection. Cell Reports. 35(8). 109160–109160. 17 indexed citations

Cheng, Gang, Micaël Hardy, Paytsar Topchyan, et al.. (2021). Mitochondria-targeted hydroxyurea inhibits OXPHOS and induces antiproliferative and immunomodulatory effects. iScience. 24(6). 102673–102673. 22 indexed citations

Cheng, Gang, Micaël Hardy, Paytsar Topchyan, et al.. (2020). Potent inhibition of tumour cell proliferation and immunoregulatory function by mitochondria-targeted atovaquone. Scientific Reports. 10(1). 17872–17872. 40 indexed citations

Unsworth, Amanda J., Alexander P. Bye, Tanya Sage, et al.. (2020). Antiplatelet properties of Pim kinase inhibition are mediated through disruption of thromboxane A2 receptor signaling. Haematologica. 106(7). 1968–1978. 13 indexed citations

Volberding, Peter J.. (2020). Leveraging Financial Markets for Development. 4 indexed citations

Xin, Gang, Achia Khatun, Paytsar Topchyan, et al.. (2019). Pathogen-Boosted Adoptive Cell Transfer Therapy Induces Endogenous Antitumor Immunity through Antigen Spreading. Cancer Immunology Research. 8(1). 7–18. 16 indexed citations

Johnson, K. E., C. N. Jondle, Peter J. Volberding, et al.. (2019). B Cell-Intrinsic SHP1 Expression Promotes the Gammaherpesvirus-Driven Germinal Center Response and the Establishment of Chronic Infection. Journal of Virology. 94(1). 10 indexed citations

Collery, Ross F., et al.. (2016). Loss of Zebrafish Mfrp Causes Nanophthalmia, Hyperopia, and Accumulation of Subretinal Macrophages. Investigative Ophthalmology & Visual Science. 57(15). 6805–6805. 32 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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