Daniel Cramer

21.1k citations
23 papers · 785 indexed · h-index 14

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation

Papers in

Daniel Cramer

23 papers receiving 755 citations

Peers

Daniel Cramer
Comparison fields: 5 of 88
  • Immunology 363
  • Hematology 127
  • Transplantation 20
  • Biotechnology 55
  • Oncology 160
Replace J.P. Pivel with:
J.P. Pivel Spain
Margareta Hanikýřová United States
Sam C. Nalle United States
Benjamin P. Thornton United States
Rong‐Hwa Lin Taiwan
Judith A. Cain United States
Yoshiaki Fujimiya Japan
Irene Bonaccorsi Italy
Ling Zeng China
Guang‐Yuh Hwang Taiwan
Daniel Cramer relative to J.P. Pivel Spain J.P. Pivel's profile →
Citations per field
00.5×6.7×
J.P. Pivel · 1×
Citations per year

Countries citing papers authored by Daniel Cramer

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Cramer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniel Cramer, 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 Daniel Cramer Line = papers co-authored together Daniel Cramer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006149
2 2008118
3 200959
4 200758
5 200754
6 200545
7 201644
8 200841
9 200740
10 200433
11 200127
12 200426
13 200826
14 200223
15 201612
16 201511
17 20027
18 20225
19
Yeast beta-glucan amplifies phagocyte killing of iC3b-opsonized tumor cells via CR3-Syk-PI3-kinase pathway.
20062
20 20082

About Daniel Cramer

Daniel Cramer is a scholar working on Hematology, Microbiology, Immunology, Molecular Medicine and Oncology, having authored 23 papers that have together received 785 indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (6 papers), Polysaccharides and Plant Cell Walls (6 papers), T-cell and B-cell Immunology (5 papers), Immune Cell Function and Interaction (4 papers), Fungal Biology and Applications (4 papers), Cancer Treatment and Pharmacology (3 papers), CAR-T cell therapy research (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (363 citations), Hematology (127 citations), Transplantation (20 citations), Biotechnology (55 citations) and Oncology (160 citations). Daniel Cramer has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Jun Yan, Richard Hansen, Chuanlin Ding, Daniel J. Allendorf, José L. Marroquín, Bing Li, Suzanne T. Ildstad, Mariusz Z. Ratajczak, Yiming Huang and Bing Li. Their work appears in journals such as Stem Cells, The Journal of Immunology, Journal of Clinical Oncology, Transplantation and Cancer 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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