Paul Nicklin

4.3k citations
40 papers · 3.3k indexed · 2 hit papers · h-index 23

Paul Nicklin

37 papers receiving 3.2k citations

Hit Papers

Elevated Levels of Inflammatory Cytokines Predict Surviva...58820092026201420204008001.2k

Peers

Paul Nicklin
Comparison fields: 5 of 105
  • Biochemistry 439
  • Cancer Research 516
  • Molecular Biology 1.8k
  • Pulmonary and Respiratory Medicine 688
  • Cell Biology 269
Replace Toshiya Tanaka with:
Toshiya Tanaka Japan
Andrey Sorokin United States
Minerva T. Garcia-Barrio United States
Jin Ye United States
Miguel A. Gijón United States
Vladimir R. Babaev United States
Roy J. Soberman United States
Peter Ellinghaus Germany
Charles Kung United States
Robin Farias‐Eisner United States
Paul Nicklin relative to Toshiya Tanaka Japan Toshiya Tanaka's profile →
Citations per field
00.5×3.1×
Toshiya Tanaka · 1×
Citations per year

Countries citing papers authored by Paul Nicklin

Since Specialization
Citations

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

Fields of papers citing papers by Paul Nicklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Paul Nicklin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Paul Nicklin Line = papers co-authored together Paul Nicklin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20229
3 202047
4 201932
5 201926
6 201713
7
Elevated Levels of Inflammatory Cytokines Predict Survival in Idiopathic and Familial Pulmonary Arterial Hypertensionbreakdown →
2010588
8
Bidirectional Transport of Amino Acids Regulates mTOR and Autophagybreakdown →
20091369
9 200952
10 200865
11 200324
12 200133
13 200023
14 199920
15 199848
16 1997106
17 19976
18 199623
19 1996143
20 199528

About Paul Nicklin

Paul Nicklin is a scholar working on Biochemistry, Pharmaceutical Science, Molecular Biology, Behavioral Neuroscience and Pulmonary and Respiratory Medicine, having authored 40 papers that have together received 3.3k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (10 papers), Advanced biosensing and bioanalysis techniques (7 papers), Drug Transport and Resistance Mechanisms (6 papers), RNA Interference and Gene Delivery (5 papers), Pulmonary Hypertension Research and Treatments (5 papers), Amino Acid Enzymes and Metabolism (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Biochemistry (439 citations), Cancer Research (516 citations), Molecular Biology (1.8k citations), Pulmonary and Respiratory Medicine (688 citations) and Cell Biology (269 citations). Paul Nicklin has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Bailin Zhang, Haidi Yang, Beat Nyfeler, Lewis C. Cantley, Christopher J. Wilson, Jeffrey A. Porter, Philip J. Bergman, Jeffrey P. MacKeigan, Marc Hild and Vic E. Myer. Their work appears in journals such as International Journal of Pharmaceutics, American Journal of Respiratory Cell and Molecular Biology, Circulation, Biochemical Pharmacology and Pharmaceutical Research.

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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