Emil Pitkin

2.4k total citations · 1 hit paper
25 papers, 1.6k citations indexed

About

Emil Pitkin is a scholar working on Molecular Biology, Statistics and Probability and Surgery. According to data from OpenAlex, Emil Pitkin has authored 25 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 6 papers in Statistics and Probability and 4 papers in Surgery. Recurrent topics in Emil Pitkin's work include Heat shock proteins research (9 papers), Statistical Methods and Inference (5 papers) and Advanced Statistical Methods and Models (4 papers). Emil Pitkin is often cited by papers focused on Heat shock proteins research (9 papers), Statistical Methods and Inference (5 papers) and Advanced Statistical Methods and Models (4 papers). Emil Pitkin collaborates with scholars based in United States, Russia and Germany. Emil Pitkin's co-authors include Adam Kapelner, Justin Bleich, Alex Goldstein, Maxim Shevtsov, B. P. Nikolaev, А. В. Добродумов, Gabriele Multhoff, L. Yakovleva, Yaroslav Marchenko and A. Ischenko and has published in prestigious journals such as Cancer Research, Scientific Reports and Journal of Controlled Release.

In The Last Decade

Emil Pitkin

23 papers receiving 1.5k citations

Hit Papers

Peeking Inside the Black Box: Visualizing Statistical Lea... 2014 2026 2018 2022 2014 250 500 750 1000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
    2014 1.1k citations Alex Goldstein, Adam Kapelner et al. Journal of Computational and Graphical Statistics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Emil Pitkin United States 14 384 198 192 131 108 25 1.6k
Ruimin Li China 31 199 0.5× 225 1.1× 109 0.6× 74 0.6× 109 1.0× 165 2.8k
Tomohiro Ando Japan 32 206 0.5× 236 1.2× 382 2.0× 189 1.4× 219 2.0× 183 3.8k
Andrés Sanz-García Spain 20 367 1.0× 314 1.6× 420 2.2× 308 2.4× 103 1.0× 52 2.1k
Robert A. Russell United States 33 236 0.6× 152 0.8× 383 2.0× 276 2.1× 73 0.7× 102 3.1k
Serena H. Chen United States 18 187 0.5× 346 1.7× 241 1.3× 66 0.5× 35 0.3× 64 1.7k
Lihong Zhang China 30 273 0.7× 282 1.4× 276 1.4× 39 0.3× 19 0.2× 170 3.5k
Tae Kyun Kim South Korea 19 145 0.4× 226 1.1× 178 0.9× 131 1.0× 40 0.4× 76 2.4k
Sang Ho Lee South Korea 32 157 0.4× 345 1.7× 552 2.9× 51 0.4× 228 2.1× 214 3.4k
Lizhen Wang China 28 280 0.7× 183 0.9× 238 1.2× 57 0.4× 17 0.2× 202 3.3k
Jianlin Zhang China 25 210 0.5× 329 1.7× 347 1.8× 42 0.3× 65 0.6× 206 2.4k

Countries citing papers authored by Emil Pitkin

Since Specialization
Citations

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

Fields of papers citing papers by Emil Pitkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emil Pitkin

This figure shows the co-authorship network connecting the top 25 collaborators of Emil Pitkin. A scholar is included among the top collaborators of Emil Pitkin 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 Emil Pitkin. Emil Pitkin 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.
2.
Shevtsov, Maxim, Emil Pitkin, A. Ischenko, et al.. (2019). Ex vivo Hsp70-Activated NK Cells in Combination With PD-1 Inhibition Significantly Increase Overall Survival in Preclinical Models of Glioblastoma and Lung Cancer. Frontiers in Immunology. 10. 454–454. 49 indexed citations
3.
Shevtsov, Maxim, Stefan Stangl, Yaroslav Marchenko, et al.. (2019). P11.42 Magnetic targeting of the granzyme B functionalized nanoparticles for therapy of glioblastoma. Neuro-Oncology. 21(Supplement_3). iii52–iii52.
4.
Shevtsov, Maxim, Natalia Yudintceva, М. И. Блинова, et al.. (2018). Evaluation of the temporary effect of physical vapor deposition silver coating on resistance to infection in transdermal skin and bone integrated pylon with deep porosity. Journal of Biomedical Materials Research Part B Applied Biomaterials. 107(1). 169–177. 16 indexed citations
5.
Buja, Andreas, Richard A. Berk, Lawrence D. Brown, et al.. (2015). Models as Approximations - A Conspiracy of Random Regressors and Model Deviations Against Classical Inference in Regression. Statistical Science. 1. 4 indexed citations
6.
Shevtsov, Maxim, Konstantin Senkevich, Alexander Kim, et al.. (2015). Changes of fractional anisotropy (FA) and apparent diffusion coefficient (ADC) in the model of experimental acute hydrocephalus in rabbits. Acta Neurochirurgica. 157(4). 689–698. 3 indexed citations
7.
Shevtsov, Maxim, B. P. Nikolaev, V. A. Ryzhov, et al.. (2015). Detection of experimental myocardium infarction in rats by MRI using heat shock protein 70 conjugated superparamagnetic iron oxide nanoparticle. Nanomedicine Nanotechnology Biology and Medicine. 12(3). 611–621. 25 indexed citations
8.
Vallabhajosyula, Prashanth, et al.. (2015). Minimally Invasive Port Access Approach for Reoperations on the Mitral Valve. The Annals of Thoracic Surgery. 100(1). 68–73. 16 indexed citations
9.
Shevtsov, Maxim, B. P. Nikolaev, L. Yakovleva, et al.. (2015). Recombinant Interleukin-1 Receptor Antagonist Conjugated to Superparamagnetic Iron Oxide Nanoparticles for Theranostic Targeting of Experimental Glioblastoma. Neoplasia. 17(1). 32–42. 32 indexed citations
10.
Shevtsov, Maxim, B. P. Nikolaev, V. A. Ryzhov, et al.. (2015). Ionizing radiation improves glioma-specific targeting of superparamagnetic iron oxide nanoparticles conjugated with cmHsp70.1 monoclonal antibodies (SPION–cmHsp70.1). Nanoscale. 7(48). 20652–20664. 59 indexed citations
11.
Shevtsov, Maxim, B. P. Nikolaev, Yaroslav Marchenko, et al.. (2015). 70-kDa heat shock protein coated magnetic nanocarriers as a nanovaccine for induction of anti-tumor immune response in experimental glioma. Journal of Controlled Release. 220(Pt A). 329–340. 61 indexed citations
12.
Shevtsov, Maxim, B. P. Nikolaev, V. A. Ryzhov, et al.. (2015). Brain tumor magnetic targeting and biodistribution of superparamagnetic iron oxide nanoparticles linked with 70-kDa heat shock protein study by nonlinear longitudinal response. Journal of Magnetism and Magnetic Materials. 388. 123–134. 26 indexed citations
13.
Pitkin, Mark, et al.. (2015). Subperiosteal Transmission Of Intra-Articular Pressure Between Articulated And Stationary Joints. Scientific Reports. 5(1). 8103–8103. 6 indexed citations
14.
Buja, Andreas, Richard A. Berk, Lawrence Brown, et al.. (2014). The Conspiracy of Random Predictors and Model Violations against Classical Inference in Regression. arXiv (Cornell University). 3 indexed citations
15.
Buja, Andreas, Richard A. Berk, Lawrence Brown, et al.. (2014). Models as Approximations, Part I: A Conspiracy of Nonlinearity and Random Regressors in Linear Regression. arXiv (Cornell University). 8 indexed citations
16.
Shevtsov, Maxim, B. P. Nikolaev, Yaroslav Marchenko, et al.. (2014). Magnetic Resonance Imaging of Rat C6 Glioma Model Enhanced by Using Water-Soluble Gadolinium Fullerene. Applied Magnetic Resonance. 45(4). 303–314. 8 indexed citations
17.
Goldstein, Alex, Adam Kapelner, Justin Bleich, & Emil Pitkin. (2014). Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation. Journal of Computational and Graphical Statistics. 24(1). 44–65. 1105 indexed citations breakdown →
18.
Shevtsov, Maxim, А. Л. Михрина, L. Yakovleva, et al.. (2014). Effective immunotherapy of rat glioblastoma with prolonged intratumoral delivery of exogenous heat shock protein Hsp70. International Journal of Cancer. 135(9). 2118–2128. 39 indexed citations
19.
Shevtsov, Maxim, Natalia Yudintceva, М. И. Блинова, et al.. (2013). Two‐stage implantation of the skin‐ and bone‐integrated pylon seeded with autologous fibroblasts induced into osteoblast differentiation for direct skeletal attachment of limb prostheses. Journal of Biomedical Materials Research Part A. 102(9). 3033–3048. 16 indexed citations
20.
Berk, Richard A., Emil Pitkin, Lawrence Brown, et al.. (2013). Covariance Adjustments for the Analysis of Randomized Field Experiments. Evaluation Review. 37(3-4). 170–196. 25 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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