Mark Berrong

555 total citations
8 papers, 191 citations indexed

About

Mark Berrong is a scholar working on Immunology, Virology and Infectious Diseases. According to data from OpenAlex, Mark Berrong has authored 8 papers receiving a total of 191 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Immunology, 5 papers in Virology and 3 papers in Infectious Diseases. Recurrent topics in Mark Berrong's work include HIV Research and Treatment (5 papers), Immune Cell Function and Interaction (3 papers) and Biosimilars and Bioanalytical Methods (2 papers). Mark Berrong is often cited by papers focused on HIV Research and Treatment (5 papers), Immune Cell Function and Interaction (3 papers) and Biosimilars and Bioanalytical Methods (2 papers). Mark Berrong collaborates with scholars based in United States, United Kingdom and South Africa. Mark Berrong's co-authors include Karen Matta, Rolf W. Stottmann, John Klingensmith, Murim Choi, Guido Ferrari, Thomas N. Denny, Wes Rountree, Nicole Frahm, Lin Song and Nancy B. Tustin and has published in prestigious journals such as Developmental Biology, PLoS Pathogens and Journal of Immunological Methods.

In The Last Decade

Mark Berrong

8 papers receiving 186 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark Berrong United States	6	97	79	57	38	26	8	191
Louisa Helms United States	2	82 0.8×	50 0.6×	47 0.8×	20 0.5×	24 0.9×	2	141
Ellen M. Murrin United States	4	127 1.3×	145 1.8×	16 0.3×	34 0.9×	29 1.1×	7	293
Andreas Linder Germany	7	210 2.2×	191 2.4×	24 0.4×	40 1.1×	45 1.7×	12	358
Kim McGowan United Kingdom	3	70 0.7×	138 1.7×	12 0.2×	31 0.8×	30 1.2×	3	220
Juliane Kutzner Germany	6	77 0.8×	55 0.7×	59 1.0×	16 0.4×	37 1.4×	7	153
Lauren J. DiMenna United States	8	139 1.4×	171 2.2×	25 0.4×	88 2.3×	25 1.0×	9	326
Alexis Sennepin France	8	52 0.5×	196 2.5×	87 1.5×	38 1.0×	60 2.3×	10	307
Paula Ordonez Japan	6	64 0.7×	52 0.7×	82 1.4×	41 1.1×	40 1.5×	9	256
Weifeng Lai China	5	212 2.2×	41 0.5×	56 1.0×	14 0.4×	20 0.8×	7	282
Lan Zhu China	7	83 0.9×	72 0.9×	45 0.8×	47 1.2×	26 1.0×	8	178

Countries citing papers authored by Mark Berrong

Since Specialization

Citations

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

Fields of papers citing papers by Mark Berrong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Berrong

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Berrong. A scholar is included among the top collaborators of Mark Berrong 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 Mark Berrong. Mark Berrong 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.

Berrong, Mark, et al.. (2023). Validation of the performance and suitability of a new class of FBS optimized for use in single-cell functional assays. Journal of Immunological Methods. 515. 113452–113452. 3 indexed citations

2.

Liu, Donglai, Chu Wang, Bhavna Hora, et al.. (2017). A strongly selected mutation in the HIV-1 genome is independent of T cell responses and neutralizing antibodies. Retrovirology. 14(1). 46–46. 3 indexed citations

3.

Rountree, Wes, Mark Berrong, Ana M. Sánchez, Thomas N. Denny, & Guido Ferrari. (2016). Variability of the IFN-γ ELISpot assay in the context of proficiency testing and bridging studies. Journal of Immunological Methods. 433. 69–76. 5 indexed citations

4.

Hancock, Gemma, Hongbing Yang, Emma Wainwright, et al.. (2015). Identification of Effective Subdominant Anti-HIV-1 CD8+ T Cells Within Entire Post-infection and Post-vaccination Immune Responses. PLoS Pathogens. 11(2). e1004658–e1004658. 37 indexed citations

5.

Sambor, Anna, Mark Berrong, Joy Pickeral, et al.. (2014). Establishment and maintenance of a PBMC repository for functional cellular studies in support of clinical vaccine trials. Journal of Immunological Methods. 409. 107–116. 25 indexed citations

6.

Sánchez, Ana M., Wes Rountree, Mark Berrong, et al.. (2014). The External Quality Assurance Oversight Laboratory (EQAPOL) proficiency program for IFN-gamma enzyme-linked immunospot (IFN-γ ELISpot) assay. Journal of Immunological Methods. 409. 31–43. 12 indexed citations

7.

Weinberg, Adriana, Lin Song, Terry Fenton, et al.. (2010). Optimization of storage and shipment of cryopreserved peripheral blood mononuclear cells from HIV-infected and uninfected individuals for ELISPOT assays. Journal of Immunological Methods. 363(1). 42–50. 50 indexed citations

8.

Stottmann, Rolf W., Mark Berrong, Karen Matta, Murim Choi, & John Klingensmith. (2006). The BMP antagonist Noggin promotes cranial and spinal neurulation by distinct mechanisms. Developmental Biology. 295(2). 647–663. 56 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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