Holger Neb

895 total citations
11 papers, 258 citations indexed

About

Holger Neb is a scholar working on Molecular Biology, Critical Care and Intensive Care Medicine and Biochemistry. According to data from OpenAlex, Holger Neb has authored 11 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Critical Care and Intensive Care Medicine and 3 papers in Biochemistry. Recurrent topics in Holger Neb's work include Blood transfusion and management (3 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers) and Immune Response and Inflammation (2 papers). Holger Neb is often cited by papers focused on Blood transfusion and management (3 papers), Trauma, Hemostasis, Coagulopathy, Resuscitation (2 papers) and Immune Response and Inflammation (2 papers). Holger Neb collaborates with scholars based in Germany, Chile and Denmark. Holger Neb's co-authors include Kai Zacharowski, Patrick Meybohm, Suma Choorapoikayil, Eva Herrmann, Lee Vernich, Jonathan H. Waters, Shannon L. Farmer, Friederike C. Althoff, Michael F. Leahy and John Freedman and has published in prestigious journals such as Annals of Surgery, Free Radical Biology and Medicine and Frontiers in Immunology.

In The Last Decade

Holger Neb

11 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Holger Neb Germany 6 145 73 53 49 45 11 258
Marie Warrer Petersen Denmark 4 207 1.4× 109 1.5× 58 1.1× 61 1.2× 60 1.3× 9 332
Camille M. van Buskirk United States 8 241 1.7× 119 1.6× 55 1.0× 84 1.7× 89 2.0× 18 424
Kelly Henrichs United States 13 338 2.3× 121 1.7× 70 1.3× 94 1.9× 168 3.7× 27 507
Sibylle Kietaibl Austria 6 96 0.7× 48 0.7× 96 1.8× 12 0.2× 58 1.3× 13 249
Richard Goldweit United States 8 196 1.4× 126 1.7× 90 1.7× 51 1.0× 39 0.9× 12 308
Lucía García-Huete Spain 8 131 0.9× 97 1.3× 204 3.8× 26 0.5× 45 1.0× 10 379
Kirsten Balvers Netherlands 8 61 0.4× 203 2.8× 60 1.1× 19 0.4× 22 0.5× 11 260
Ibrahim Nassar Spain 5 121 0.8× 73 1.0× 114 2.2× 2 0.0× 40 0.9× 10 257
L Nestor Ireland 6 74 0.5× 11 0.2× 80 1.5× 8 0.2× 39 0.9× 10 310
Ronald G. Strauss United States 6 134 0.9× 12 0.2× 14 0.3× 22 0.4× 75 1.7× 7 282

Countries citing papers authored by Holger Neb

Since Specialization
Citations

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

Fields of papers citing papers by Holger Neb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Holger Neb

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

All Works

11 of 11 papers shown
2.
Braun, Julia, Donat R. Spahn, Holger Neb, et al.. (2023). Predicting Survival for Veno-Arterial ECMO Using Conditional Inference Trees—A Multicenter Study. Journal of Clinical Medicine. 12(19). 6243–6243. 3 indexed citations
3.
Zinn, Sebastian, Steven R. Talbot, Holger Neb, et al.. (2023). EVIDENCE FROM FATAL COVID-19 FOR TARGETING THE BRADYKININ METABOLISM—A SINGLE-CENTER COHORT STUDY. Shock. 60(6). 727–738. 2 indexed citations
4.
Neb, Holger, Steven R. Talbot, Michael Sonntagbauer, et al.. (2022). HIGH HEPARANASE LEVEL IN SURVIVORS OF COVID-19 — INDICATOR OF VASCULAR AND PULMONARY RECOVERY?. Shock. 58(6). 514–523. 3 indexed citations
5.
Jacobi, Volkmar, et al.. (2020). Lung Ultrasound Findings in Patients with COVID-19. SN Comprehensive Clinical Medicine. 2(11). 2151–2157. 6 indexed citations
6.
Schmitt, Elke, Patrick Meybohm, Eva Herrmann, et al.. (2019). In-line filtration of intravenous infusion may reduce organ dysfunction of adult critical patients. Critical Care. 23(1). 373–373. 9 indexed citations
7.
Fischer, Dania, Holger Neb, Suma Choorapoikayil, Kai Zacharowski, & Patrick Meybohm. (2018). Red blood cell transfusion and its alternatives in oncologic surgery—A critical evaluation. Critical Reviews in Oncology/Hematology. 134. 1–9. 19 indexed citations
8.
Althoff, Friederike C., Holger Neb, Eva Herrmann, et al.. (2018). Multimodal Patient Blood Management Program Based on a Three-pillar Strategy. Annals of Surgery. 269(5). 794–804. 177 indexed citations
9.
Neb, Holger, Kai Zacharowski, & Patrick Meybohm. (2017). Strategies to reduce blood product utilization in obstetric practice. Current Opinion in Anaesthesiology. 30(3). 294–299. 15 indexed citations
10.
Neb, Holger, Patrick Meybohm, Kai Zacharowski, et al.. (2016). Pparγ Expression in T Cells as a Prognostic Marker of Sepsis. Shock. 45(6). 591–597. 5 indexed citations
11.
Knethen, Andreas von, et al.. (2011). PPARγ stabilizes HO-1 mRNA in monocytes/macrophages which affects IFN-β expression. Free Radical Biology and Medicine. 51(2). 396–405. 18 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026