Julius Paul Pradeep John

684 total citations
17 papers, 544 citations indexed

About

Julius Paul Pradeep John is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Spectroscopy. According to data from OpenAlex, Julius Paul Pradeep John has authored 17 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 5 papers in Spectroscopy. Recurrent topics in Julius Paul Pradeep John's work include Neuroscience and Neuropharmacology Research (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Julius Paul Pradeep John is often cited by papers focused on Neuroscience and Neuropharmacology Research (5 papers), Advanced Proteomics Techniques and Applications (4 papers) and Mass Spectrometry Techniques and Applications (4 papers). Julius Paul Pradeep John collaborates with scholars based in Austria, Switzerland and France. Julius Paul Pradeep John's co-authors include Gert Lübec, Jae‐Won Yang, Leila Afjehi‐Sadat, Arnold Pollak, Weiqiang Chen, Harald Hoeger, Daniela D. Pollak, Angela Schneider, Richard J. A. Goodwin and Robert W. Wilkinson and has published in prestigious journals such as Neuroscience, Progress in Neurobiology and Proteins Structure Function and Bioinformatics.

In The Last Decade

Julius Paul Pradeep John

17 papers receiving 530 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Julius Paul Pradeep John Austria 11 324 134 97 81 57 17 544
Lilian C. Russo Brazil 14 356 1.1× 48 0.4× 51 0.5× 195 2.4× 28 0.5× 28 524
Yanyong Kang China 12 423 1.3× 55 0.4× 69 0.7× 40 0.5× 16 0.3× 15 662
Renata Kowalczyk New Zealand 14 424 1.3× 74 0.6× 109 1.1× 55 0.7× 17 0.3× 32 611
Daniel Osorio United States 13 527 1.6× 112 0.8× 25 0.3× 35 0.4× 23 0.4× 30 748
Christine Fahy France 13 296 0.9× 29 0.2× 136 1.4× 59 0.7× 27 0.5× 16 506
Imke Oltmann‐Norden Germany 11 432 1.3× 57 0.4× 124 1.3× 21 0.3× 23 0.4× 13 603
Yizhe Sun United States 12 328 1.0× 180 1.3× 45 0.5× 72 0.9× 6 0.1× 26 646
Angela Flagiello Italy 11 249 0.8× 34 0.3× 59 0.6× 90 1.1× 19 0.3× 17 501
Rob van der Kant Belgium 13 623 1.9× 46 0.3× 86 0.9× 24 0.3× 30 0.5× 17 707
Małgorzata Palczewska Poland 11 228 0.7× 40 0.3× 68 0.7× 19 0.2× 26 0.5× 23 357

Countries citing papers authored by Julius Paul Pradeep John

Since Specialization
Citations

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

Fields of papers citing papers by Julius Paul Pradeep John

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Julius Paul Pradeep John. 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 Julius Paul Pradeep John. The network helps show where Julius Paul Pradeep John may publish in the future.

Co-authorship network of co-authors of Julius Paul Pradeep John

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

All Works

17 of 17 papers shown
1.
Mullins, Stefanie, John P. Vasilakos, Katharina Deschler, et al.. (2019). Intratumoral immunotherapy with TLR7/8 agonist MEDI9197 modulates the tumor microenvironment leading to enhanced activity when combined with other immunotherapies. Journal for ImmunoTherapy of Cancer. 7(1). 244–244. 137 indexed citations
2.
Liu, Yi, Weiping Sun, Julius Paul Pradeep John, et al.. (2016). De Novo Sequencing Assisted Approach for Characterizing Mixture MS/MS Spectra. IEEE Transactions on NanoBioscience. 15(2). 166–176. 2 indexed citations
5.
John, Julius Paul Pradeep, Arnold Pollak, & Gert Lübec. (2009). Complete sequencing and oxidative modification of manganese superoxide dismutase in medulloblastoma cells. Electrophoresis. 30(17). 3006–3016. 18 indexed citations
6.
Ströbel, Thomas, Sung Ung Kang, Julius Paul Pradeep John, et al.. (2009). Neurotrophin 3/TrkC‐regulated proteins in the human medulloblastoma cell line DAOY. Electrophoresis. 30(3). 540–549. 7 indexed citations
7.
John, Julius Paul Pradeep, Berta Sunyer, Harald Höger, Arnold Pollak, & Gert Lübec. (2009). Hippocampal synapsin isoform levels are linked to spatial memory enhancement by SGS742. Hippocampus. 19(8). 731–738. 24 indexed citations
8.
John, Julius Paul Pradeep, Alexander H. Petter‐Puchner, Heinz Redl, et al.. (2007). Nitric Oxide and Oxygen Radical Attack on GDP-Dissociation Inhibitor 2 (GDI-2) in Spinal Cord Injury of the Rat. Journal of Proteome Research. 6(4). 1500–1509. 15 indexed citations
9.
John, Julius Paul Pradeep, Jieun Oh, Arnold Pollak, & Gert Lübec. (2007). Identification and characterisation of arsenite (+3 Oxidation State) methyltransferase (AS3MT) in mouse neuroblastoma cell line N1E-115. Amino Acids. 35(2). 355–358. 6 indexed citations
10.
John, Julius Paul Pradeep, Weiqiang Chen, Arnold Pollak, & Gert Lübec. (2007). Mass Spectrometric Studies on Mouse Hippocampal Synapsins Ia, IIa, and IIb and Identification of a Novel Phosphorylation Site at Serine-546. Journal of Proteome Research. 6(7). 2695–2710. 17 indexed citations
11.
John, Julius Paul Pradeep, Dorothea Anrather, Arnold Pollak, & Gert Lübec. (2006). Mass spectrometrical verification of stomatin‐like protein 2 (SLP‐2) primary structure. Proteins Structure Function and Bioinformatics. 64(2). 543–551. 9 indexed citations
12.
Pollak, Daniela D., Julius Paul Pradeep John, Theresa Scharl, et al.. (2006). Strain‐dependent regulation of neurotransmission and actin‐remodelling proteins in the mouse hippocampus. Genes Brain & Behavior. 5(2). 200–204. 11 indexed citations
13.
Pollak, Daniela D., Julius Paul Pradeep John, Harald Hoeger, & Gert Lübec. (2006). An integrated map of the murine hippocampal proteome based upon five mouse strains. Electrophoresis. 27(13). 2787–2798. 22 indexed citations
14.
Bierczyńska-Krzysik, Anna, Julius Paul Pradeep John, Jerzy Silberring, et al.. (2006). Proteomic analysis of rat cerebral cortex, hippocampus and striatum after exposure to morphine. International Journal of Molecular Medicine. 18(4). 775–84. 38 indexed citations
15.
Pollak, Daniela D., Julius Paul Pradeep John, Hermann Bubna‐Littitz, et al.. (2006). Components of the protein quality control system are expressed in a strain-dependent manner in the mouse hippocampus. Neurochemistry International. 49(5). 500–507. 9 indexed citations
16.
Pollak, Daniela D., Julius Paul Pradeep John, Angela Schneider, Harald Hoeger, & Gert Lübec. (2005). Strain-dependent expression of signaling proteins in the mouse hippocampus. Neuroscience. 138(1). 149–158. 23 indexed citations
17.
Lübec, Gert, Leila Afjehi‐Sadat, Jae‐Won Yang, & Julius Paul Pradeep John. (2005). Searching for hypothetical proteins: Theory and practice based upon original data and literature. Progress in Neurobiology. 77(1-2). 90–127. 148 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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