Daniel Kreisel

17.6k total citations · 3 hit papers
325 papers, 10.9k citations indexed

About

Daniel Kreisel is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Immunology. According to data from OpenAlex, Daniel Kreisel has authored 325 papers receiving a total of 10.9k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Surgery, 105 papers in Pulmonary and Respiratory Medicine and 93 papers in Immunology. Recurrent topics in Daniel Kreisel's work include Transplantation: Methods and Outcomes (131 papers), Organ Transplantation Techniques and Outcomes (60 papers) and Renal Transplantation Outcomes and Treatments (55 papers). Daniel Kreisel is often cited by papers focused on Transplantation: Methods and Outcomes (131 papers), Organ Transplantation Techniques and Outcomes (60 papers) and Renal Transplantation Outcomes and Treatments (55 papers). Daniel Kreisel collaborates with scholars based in United States, Italy and Canada. Daniel Kreisel's co-authors include Alexander S. Krupnick, Andrew E. Gelman, G. Alexander Patterson, Varun Puri, Bryan F. Meyers, Traves D. Crabtree, Daniel R. Goldstein, Kory J. Lavine, Wenjun Li and Ruben G. Nava and has published in prestigious journals such as Proceedings of the National Academy of Sciences, JAMA and Circulation.

In The Last Decade

Daniel Kreisel

312 papers receiving 10.8k citations

Hit Papers

align trajectories

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.

Immunosuppression in Patients Who Die of Sepsis and Multiple Organ Failure

2011 1.3k citations Daniel Kreisel, Alexander S. Krupnick et al. profile →
Tissue Resident CCR2− and CCR2+ Cardiac Macrophages Differentially Orchestrate Monocyte Recruitment and Fate Specification Following Myocardial Injury

2019 510 citations Geetika Bajpai, Andrea Bredemeyer et al. Circulation Research profile →
The human heart contains distinct macrophage subsets with divergent origins and functions

2018 478 citations Geetika Bajpai, C. Schneider et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Kreisel United States	51	4.1k	3.3k	2.9k	1.8k	1.6k	325	10.9k
Matthew D. Griffin United States	61	3.0k 0.7×	2.8k 0.8×	1.6k 0.6×	3.0k 1.7×	886 0.5×	204	12.7k
Alexander S. Krupnick United States	46	2.6k 0.6×	2.7k 0.8×	2.5k 0.9×	1.1k 0.6×	1.3k 0.8×	191	8.0k
Hans J. Schlitt Germany	65	7.1k 1.7×	2.2k 0.7×	2.4k 0.9×	2.5k 1.4×	2.6k 1.6×	510	15.7k
Michael Mengel Germany	60	4.7k 1.1×	2.2k 0.7×	2.1k 0.8×	1.5k 0.8×	1.4k 0.9×	209	12.5k
Flora Peyvandi Italy	65	1.4k 0.4×	4.3k 1.3×	2.2k 0.8×	1.6k 0.9×	1.0k 0.6×	652	18.3k
Karl‐Walter Jauch Germany	58	3.7k 0.9×	786 0.2×	2.1k 0.7×	3.0k 1.7×	1.3k 0.8×	229	11.4k
Adriana Zeevi United States	63	8.9k 2.2×	3.8k 1.1×	1.4k 0.5×	1.2k 0.7×	2.8k 1.8×	431	16.4k
Valerio Di Carlo Italy	66	7.6k 1.8×	1.6k 0.5×	2.5k 0.9×	1.5k 0.9×	1.8k 1.1×	304	14.9k
Fokko J. van der Woude Netherlands	59	2.7k 0.7×	2.4k 0.7×	5.0k 1.8×	2.0k 1.1×	1.9k 1.2×	261	13.5k
Walter Klepetko Austria	72	5.6k 1.4×	1.1k 0.3×	10.2k 3.6×	2.7k 1.5×	1.7k 1.0×	606	18.1k

Countries citing papers authored by Daniel Kreisel

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Kreisel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Kreisel

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

All Works

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20 of 20 papers shown

He, Ruijun, Farid F. Kadyrov, Andrew L. Koenig, et al.. (2026). DNA-damaging chemotherapy reshapes cardiac-resident macrophage composition and function. Science Immunology. 11(115). eadu4944–eadu4944.

Davis, R. Duane, Bryan A. Whitson, Thomas Wozniak, et al.. (2025). Normothermic Ex-Vivo Lung Perfusion Long-Term Outcomes: The NOVEL Trial. The Journal of Heart and Lung Transplantation. 44(4). S10–S10.

Heiden, Brendan T., Daniel B. Eaton, Jatinder Palta, et al.. (2025). Availability of multidisciplinary treatment modalities and outcomes among patients with resected early-stage non-small cell lung cancer. JNCI Cancer Spectrum. 9(6).

Komaru, Yohei, Eirini Kefaloyianni, Mark J. Miller, et al.. (2025). Acute kidney injury triggers hypoxemia by lung intravascular neutrophil retention that reduces capillary blood flow. Journal of Clinical Investigation. 135(10). 3 indexed citations

Guo, Yizhan, Dongge Li, Anirban Banerjee, et al.. (2024). Stress-induced eosinophil activation contributes to postoperative morbidity and mortality after lung resection. Science Translational Medicine. 16(761). eadl4222–eadl4222. 1 indexed citations

Yang, Zhizhou, Yun Zhu Bai, Yan Yan, et al.. (2024). Validation of a novel donor lung scoring system based on the updated lung Composite Allocation Score. American Journal of Transplantation. 24(7). 1279–1288. 1 indexed citations

Terada, Yuriko, Tsuyoshi Takahashi, Ramsey R. Hachem, et al.. (2023). Characteristics of donor lungs declined on site and impact of lung allocation policy change. Journal of Thoracic and Cardiovascular Surgery. 166(5). 1347–1358.e11.

Takahashi, Tsuyoshi, Yuriko Terada, Michael K. Pasque, et al.. (2023). Outcomes of Extracorporeal Membrane Oxygenation for Primary Graft Dysfunction After Lung Transplantation. The Annals of Thoracic Surgery. 115(5). 1273–1280. 9 indexed citations

Subramanian, Melanie P., Daniel B. Eaton, Brendan T. Heiden, et al.. (2023). Lobe-specific lymph node sampling is associated with lower risk of cancer recurrence. JTCVS Open. 17. 271–283. 1 indexed citations

10.

Terada, Yuriko, Ramsey R. Hachem, Michael K. Pasque, et al.. (2023). Pulmonary Carcinoid Tumorlet in the Explanted Lungs for Lung Transplantation: A Case Series of 15 Patients. Transplantation Proceedings. 55(2). 446–448. 1 indexed citations

11.

Guillamet, Rodrigo Vazquez, Andrew J. Bierhals, Laneshia K. Tague, et al.. (2023). Potential Role of Computed Tomography Volumetry in Size Matching in Lung Transplantation. Transplantation Proceedings. 55(2). 432–439. 2 indexed citations

12.

Heiden, Brendan T., Zhizhou Yang, Yun Zhu Bai, et al.. (2023). Development and validation of the lung donor (LUNDON) acceptability score for pulmonary transplantation. American Journal of Transplantation. 23(4). 540–548. 5 indexed citations

13.

Kopecky, Benjamin J., Hao Dun, Junedh Amrute, et al.. (2022). Donor Macrophages Modulate Rejection After Heart Transplantation. Circulation. 146(8). 623–638. 37 indexed citations

14.

Scozzi, Davide, Fuyi Liao, Alexander S. Krupnick, Daniel Kreisel, & Andrew E. Gelman. (2022). The role of neutrophil extracellular traps in acute lung injury. Frontiers in Immunology. 13. 953195–953195. 113 indexed citations

15.

Feng, Guoshuai, Geetika Bajpai, Pan Ma, et al.. (2022). CCL17 Aggravates Myocardial Injury by Suppressing Recruitment of Regulatory T Cells. Circulation. 145(10). 765–782. 78 indexed citations

16.

Misumi, Keizo, David Wheeler, Yoshiro Aoki, et al.. (2020). Humoral immune responses mediate the development of a restrictive phenotype of chronic lung allograft dysfunction. JCI Insight. 5(23). 20 indexed citations

17.

Heo, Gyu Seong, Benjamin J. Kopecky, Deborah Sultan, et al.. (2019). Molecular Imaging Visualizes Recruitment of Inflammatory Monocytes and Macrophages to the Injured Heart. Circulation Research. 124(6). 881–890. 82 indexed citations

18.

Guo, Yizhan, Dongge Li, Oscar Okwudiri Onyema, et al.. (2019). Vendor-specific microbiome controls both acute and chronic murine lung allograft rejection by altering CD4+Foxp3+ regulatory T cell levels. American Journal of Transplantation. 19(10). 2705–2718. 25 indexed citations

19.

Bajpai, Geetika, C. Schneider, Andrea Bredemeyer, et al.. (2018). The human heart contains distinct macrophage subsets with divergent origins and functions. Nature Medicine. 24(8). 1234–1245. 478 indexed citations breakdown →

20.

Kreisel, Daniel, Andrew E. Gelman, Ryuji Higashikubo, et al.. (2012). Strain-Specific Variation in Murine Natural Killer Gene Complex Contributes to Differences in Immunosurveillance for Urethane-Induced Lung Cancer. Cancer Research. 72(17). 4311–4317. 22 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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