Joseph Kaplinsky

457 total citations
8 papers, 236 citations indexed

About

Joseph Kaplinsky is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Joseph Kaplinsky has authored 8 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Immunology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Joseph Kaplinsky's work include vaccines and immunoinformatics approaches (3 papers), T-cell and B-cell Immunology (3 papers) and Single-cell and spatial transcriptomics (2 papers). Joseph Kaplinsky is often cited by papers focused on vaccines and immunoinformatics approaches (3 papers), T-cell and B-cell Immunology (3 papers) and Single-cell and spatial transcriptomics (2 papers). Joseph Kaplinsky collaborates with scholars based in Denmark, United Kingdom and United States. Joseph Kaplinsky's co-authors include Ramy Arnaout, Mark A. A. Neil, Oscar Ces, Ali Salehi‐Reyhani, David R. Klug, Keith R. Willison, Peter J. Parker, Andrew J. deMello, Richard H. Templer and P. M. W. French and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Lab on a Chip.

In The Last Decade

Joseph Kaplinsky

8 papers receiving 234 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joseph Kaplinsky Denmark	7	113	86	66	43	22	8	236
Gian‐Paolo Rizzardi Italy	9	218 1.9×	81 0.9×	55 0.8×	48 1.1×	65 3.0×	12	333
Genee Lee United States	6	170 1.5×	50 0.6×	42 0.6×	109 2.5×	123 5.6×	6	295
Shinichi Kadowaki Japan	6	177 1.6×	104 1.2×	180 2.7×	136 3.2×	44 2.0×	9	390
Antonio Casal United Kingdom	4	122 1.1×	178 2.1×	22 0.3×	49 1.1×	30 1.4×	4	353
Zhou Yuan United States	8	111 1.0×	120 1.4×	37 0.6×	27 0.6×	75 3.4×	18	315
Ankit Gupta United States	9	241 2.1×	64 0.7×	33 0.5×	86 2.0×	102 4.6×	22	370
Joe Trotter United States	3	106 0.9×	88 1.0×	26 0.4×	15 0.3×	43 2.0×	3	189
Maria L. Ciocca United States	6	92 0.8×	230 2.7×	26 0.4×	9 0.2×	52 2.4×	6	336
Dirk Dedden Germany	5	157 1.4×	28 0.3×	41 0.6×	13 0.3×	11 0.5×	6	362

Countries citing papers authored by Joseph Kaplinsky

Since Specialization

Citations

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

Fields of papers citing papers by Joseph Kaplinsky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Kaplinsky

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

Marcatili, Paolo, et al.. (2023). Signatures of T cell immunity revealed using sequence similarity with TCRDivER algorithm. Communications Biology. 6(1). 357–357. 4 indexed citations

2.

Chain, Benny, et al.. (2020). T cell receptor sequence clustering and antigen specificity. Computational and Structural Biotechnology Journal. 18. 2166–2173. 13 indexed citations

3.

Kaplinsky, Joseph, Fredrik Ivars, William W. Agace, et al.. (2019). SMAC mimetics promote NIK-dependent inhibition of CD4 ⁺ T _H 17 cell differentiation. Science Signaling. 12(596). 12 indexed citations

4.

Kaplinsky, Joseph, et al.. (2017). Improved Targeting of Cancers with Nanotherapeutics. Methods in molecular biology. 1530. 13–37. 13 indexed citations

5.

Kaplinsky, Joseph & Ramy Arnaout. (2016). Robust estimates of overall immune-repertoire diversity from high-throughput measurements on samples. Nature Communications. 7(1). 11881–11881. 56 indexed citations

6.

Kaplinsky, Joseph, Anthony Li, Amy Sun, et al.. (2014). Antibody repertoire deep sequencing reveals antigen-independent selection in maturing B cells. Proceedings of the National Academy of Sciences. 111(25). E2622–9. 37 indexed citations

7.

Salehi‐Reyhani, Ali, Michael Barclay, Aidan T. Brown, et al.. (2014). Absolute quantification of protein copy number using a single-molecule-sensitive microarray. The Analyst. 139(13). 3235–3235. 18 indexed citations

8.

Salehi‐Reyhani, Ali, Joseph Kaplinsky, Andrew J. deMello, et al.. (2011). A first step towards practical single cell proteomics: a microfluidic antibody capture chip with TIRF detection. Lab on a Chip. 11(7). 1256–1256. 83 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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