Mark R. Krampf

403 total citations
9 papers, 315 citations indexed

About

Mark R. Krampf is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, Mark R. Krampf has authored 9 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Hematology and 2 papers in Molecular Biology. Recurrent topics in Mark R. Krampf's work include Immunotherapy and Immune Responses (2 papers), Platelet Disorders and Treatments (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). Mark R. Krampf is often cited by papers focused on Immunotherapy and Immune Responses (2 papers), Platelet Disorders and Treatments (2 papers) and Hematopoietic Stem Cell Transplantation (2 papers). Mark R. Krampf collaborates with scholars based in United States, Russia and India. Mark R. Krampf's co-authors include Wayne R. Godfrey, Patricia A. Taylor, Bruce R. Blazar, David K. Okita, Brenda Diethelm‐Okita, Bianca M. Conti‐Fine, Nigel S. Key, Mark T. Reding, Martin Moorhead and Huiyun Wu and has published in prestigious journals such as Blood, Thrombosis and Haemostasis and Leukemia.

In The Last Decade

Mark R. Krampf

8 papers receiving 312 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark R. Krampf United States 5 216 112 82 61 59 9 315
L Perdiguer Spain 4 166 0.8× 115 1.0× 125 1.5× 64 1.0× 24 0.4× 4 314
G. García-Manero United States 8 139 0.6× 104 0.9× 162 2.0× 64 1.0× 23 0.4× 24 329
Hirohumi Taji Japan 7 84 0.4× 161 1.4× 46 0.6× 74 1.2× 48 0.8× 8 269
JA Burger United States 3 113 0.5× 96 0.9× 96 1.2× 51 0.8× 19 0.3× 4 212
Neil Came Australia 8 186 0.9× 68 0.6× 148 1.8× 74 1.2× 14 0.2× 17 308
A. Åhre Sweden 10 258 1.2× 119 1.1× 95 1.2× 175 2.9× 54 0.9× 12 376
Sylvain Garciaz France 11 133 0.6× 64 0.6× 52 0.6× 117 1.9× 14 0.2× 46 324
Edwin Kingsley United States 8 98 0.5× 50 0.4× 77 0.9× 155 2.5× 19 0.3× 25 301
D Borrego Spain 7 342 1.6× 60 0.5× 105 1.3× 155 2.5× 24 0.4× 11 414
LJ Smith Canada 2 241 1.1× 86 0.8× 71 0.9× 49 0.8× 24 0.4× 3 343

Countries citing papers authored by Mark R. Krampf

Since Specialization
Citations

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

Fields of papers citing papers by Mark R. Krampf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark R. Krampf. 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 Mark R. Krampf. The network helps show where Mark R. Krampf may publish in the future.

Co-authorship network of co-authors of Mark R. Krampf

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

All Works

9 of 9 papers shown
1.
Han, Jian, Miranda Byrne‐Steele, Mark R. Krampf, et al.. (2024). In utero hematopoietic stem cell transplantation for Fanconi anemia. Blood Advances. 8(17). 4554–4558.
2.
Krampf, Mark R., et al.. (2024). Hematopoiesis post anti-CD117 monoclonal antibody treatment in wild-type and Fanconi anemia settings. Haematologica. 109(9). 2920–2929. 1 indexed citations
3.
Logan, Aaron C., Bing Zhang, Balasubramanian Narasimhan, et al.. (2013). Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia. Leukemia. 27(8). 1659–1665. 96 indexed citations
5.
Chung, Brile, Dullei Min, Mark R. Krampf, et al.. (2010). Combined Effects of Interleukin-7 and Stem Cell Factor Administration on Lymphopoiesis after Murine Bone Marrow Transplantation. Biology of Blood and Marrow Transplantation. 17(1). 48–60. 15 indexed citations
6.
Mani, Maheswaran, Shivkumar Venkatasubrahmanyam, Mark R. Krampf, et al.. (2010). Synergy Between Kit Ligand (KL) and IL-4 In Mast Cells Is Mediated by Cross-Receptor Interactions In Lipid Rafts.. Blood. 116(21). 1564–1564. 1 indexed citations
7.
Godfrey, Wayne R., Mark R. Krampf, Patricia A. Taylor, & Bruce R. Blazar. (2003). Ex vivo depletion of alloreactive cells based on CFSE dye dilution, activation antigen selection, and dendritic cell stimulation. Blood. 103(3). 1158–1165. 72 indexed citations
8.
Reding, Mark T., Mark R. Krampf, David K. Okita, et al.. (2000). Sensitization of CD4+ T Cells to Coagulation Factor VIII: Response in Congenital and Acquired Hemophilia Patients and in Healthy Subjects. Thrombosis and Haemostasis. 84(10). 643–652. 71 indexed citations
9.
Reding, Mark T., Huiyun Wu, Mark R. Krampf, et al.. (1999). CD4+ T Cell Response to Factor VIII in Hemophilia A, Acquired Hemophilia, and Healthy Subjects. Thrombosis and Haemostasis. 82(8). 509–515. 58 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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