Gerd Rippin

2.9k total citations
37 papers, 2.1k citations indexed

About

Gerd Rippin is a scholar working on Immunology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gerd Rippin has authored 37 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Molecular Biology and 7 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gerd Rippin's work include RNA Interference and Gene Delivery (4 papers), Immunotherapy and Immune Responses (4 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Gerd Rippin is often cited by papers focused on RNA Interference and Gene Delivery (4 papers), Immunotherapy and Immune Responses (4 papers) and Atherosclerosis and Cardiovascular Diseases (4 papers). Gerd Rippin collaborates with scholars based in Germany, United States and Switzerland. Gerd Rippin's co-authors include Gerd Häfner, Stefan Blankenberg, Christoph Bickel, Hans J. Rupprecht, Jürgen Meyer, Christine Espinola–Klein, Wolfgang Schlumberger, Roger G. Spragg, James F. Lewis and Dietrich Häfner and has published in prestigious journals such as New England Journal of Medicine, Circulation and Journal of Clinical Oncology.

In The Last Decade

Gerd Rippin

37 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerd Rippin Germany 21 576 496 457 444 363 37 2.1k
Moritz Kebschull Germany 31 417 0.7× 226 0.5× 696 1.5× 201 0.5× 220 0.6× 70 4.0k
Vesa Rasi Finland 25 199 0.3× 495 1.0× 203 0.4× 508 1.1× 262 0.7× 77 2.8k
Jeong Woo Park South Korea 20 138 0.2× 505 1.0× 145 0.3× 283 0.6× 130 0.4× 76 1.3k
Robert T. Means United States 30 461 0.8× 217 0.4× 413 0.9× 209 0.5× 131 0.4× 71 3.7k
Josette Eris Australia 29 812 1.4× 406 0.8× 621 1.4× 213 0.5× 1.1k 3.2× 56 3.6k
Toshiaki Ikeda Japan 23 307 0.5× 1.2k 2.4× 206 0.5× 289 0.7× 460 1.3× 72 2.0k
Mark Roest Netherlands 30 390 0.7× 257 0.5× 301 0.7× 454 1.0× 384 1.1× 118 3.0k
Yvonne Henskens Netherlands 30 133 0.2× 180 0.4× 258 0.6× 326 0.7× 361 1.0× 123 2.6k
Renato Romagnoli Italy 37 162 0.3× 1.0k 2.0× 792 1.7× 811 1.8× 2.6k 7.2× 278 5.0k
Sergi Mojal Spain 25 62 0.1× 262 0.5× 330 0.7× 289 0.7× 505 1.4× 81 1.8k

Countries citing papers authored by Gerd Rippin

Since Specialization
Citations

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

Fields of papers citing papers by Gerd Rippin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerd Rippin

This figure shows the co-authorship network connecting the top 25 collaborators of Gerd Rippin. A scholar is included among the top collaborators of Gerd Rippin 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 Gerd Rippin. Gerd Rippin 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.
Weisser, Burkhard, et al.. (2020). Single Pill Regimen Leads to Better Adherence and Clinical Outcome in Daily Practice in Patients Suffering from Hypertension and/or Dyslipidemia: Results of a Meta-Analysis. High Blood Pressure & Cardiovascular Prevention. 27(2). 157–164. 41 indexed citations
2.
3.
Taher, Alì, Mohamed A. Yassin, Zhijian Xiao, et al.. (2018). Impact of Myeloproliferative Neoplasms (MPNs) on Health-Related Quality of Life (HRQOL) and Medical Resource Utilization: Results from the MERGE Registry. Blood. 132(Supplement 1). 4311–4311. 5 indexed citations
4.
Kübler, Hubert, Birgit Scheel, Ulrike Gnad-Vogt, et al.. (2015). Self-adjuvanted mRNA vaccination in advanced prostate cancer patients: a first-in-man phase I/IIa study. Journal for ImmunoTherapy of Cancer. 3(1). 26–26. 211 indexed citations
5.
Spragg, Roger G., Friedemann Taut, Andreas Günther, & Gerd Rippin. (2009). Surfactant Replacement Therapy in ARDS: Response. CHEST Journal. 136(1). 321–322. 2 indexed citations
6.
Taut, Friedemann, Gerd Rippin, Peter Schenk, et al.. (2008). A Search for Subgroups of Patients With ARDS Who May Benefit From Surfactant Replacement Therapy. CHEST Journal. 134(4). 724–732. 68 indexed citations
7.
Coerdt, Wiltrud, et al.. (2004). Quantitative morphometric analysis of the submucous plexus in age-related control groups. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 444(3). 239–246. 35 indexed citations
8.
Spragg, Roger G., James F. Lewis, Hans‐Dieter Walmrath, et al.. (2004). Effect of Recombinant Surfactant Protein C–Based Surfactant on the Acute Respiratory Distress Syndrome. New England Journal of Medicine. 351(9). 884–892. 273 indexed citations
9.
Ernst, Claus‐Peter, et al.. (2003). Reduction of Polymerization Shrinkage Stress and Marginal Microleakage Using Soft‐Start Polymerization. Journal of Esthetic and Restorative Dentistry. 15(2). 93–103. 44 indexed citations
10.
Bickel, Christoph, Hans J. Rupprecht, Stefan Blankenberg, et al.. (2002). Influence of HMG–CoA reductase inhibitors on markers of coagulation, systemic inflammation and soluble cell adhesion. International Journal of Cardiology. 82(1). 25–31. 65 indexed citations
11.
12.
Bickel, Christoph, Hans J. Rupprecht, Stefan Blankenberg, et al.. (2002). Serum uric acid as an independent predictor of mortality in patients with angiographically proven coronary artery disease. The American Journal of Cardiology. 89(1). 12–17. 196 indexed citations
13.
Willershausen, Brita, et al.. (2001). Periodontal probing in comparison to diagnosis by CT-Scan. International Dental Journal. 51(5). 339–347. 19 indexed citations
14.
Brennecke, Rüdiger, et al.. (2001). Comparison of image compression viability for lossy and lossless JPEG and Wavelet data reduction in coronary angiography. International journal of cardiac imaging. 17(1). 1–12. 20 indexed citations
15.
Nowak, Bernd, Gerd Rippin, Georg Horstick, et al.. (2001). Effect of the Atrial Blanking Time On the Detection of Atrial Fibrillation in Dual Chamber Pacing. Pacing and Clinical Electrophysiology. 24(4). 496–499. 14 indexed citations
16.
Brennecke, Rüdiger, et al.. (2000). American College of Cardiology/ European Society of Cardiology international study of angiographic data compression phase III. Journal of the American College of Cardiology. 35(5). 1388–1397. 13 indexed citations
17.
Dietz, Ulrich A., Mike Otto, Michael Buerke, et al.. (2000). Temperature-Controlled High Frequency Ablation for Creation of Transmyocardial Channels: In vivo Validation of a Novel Method. Cardiology. 93(4). 234–241. 3 indexed citations
18.
Kulla, Andres, et al.. (2000). Tenascin Expression Patterns and Cells of Monocyte Lineage: Relationship in Human Gliomas. Modern Pathology. 13(1). 56–67. 24 indexed citations
19.
20.
Pötsch, Lucia, Gisela Skopp, & Gerd Rippin. (1997). A comparison of 3 H-cocaine binding on melanin granules and human hair in vitro. International Journal of Legal Medicine. 110(2). 55–62. 31 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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