D. J. Schendel

671 total citations
17 papers, 596 citations indexed

About

D. J. Schendel is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, D. J. Schendel has authored 17 papers receiving a total of 596 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 7 papers in Oncology and 3 papers in Molecular Biology. Recurrent topics in D. J. Schendel's work include Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (5 papers). D. J. Schendel is often cited by papers focused on Immunotherapy and Immune Responses (12 papers), T-cell and B-cell Immunology (7 papers) and Immune Cell Function and Interaction (5 papers). D. J. Schendel collaborates with scholars based in Germany, United States and Croatia. D. J. Schendel's co-authors include Peter Parham, Ann‐Margaret Little, Jacqueline Zemmour, Rudolf Wank, Heike Pohla, T Meo, Alexander Steinle, Carsten Reinhardt, A. Termijtelen and Jack Gorski and has published in prestigious journals such as The Lancet, The Journal of Experimental Medicine and Journal of Clinical Oncology.

In The Last Decade

D. J. Schendel

17 papers receiving 571 citations

Peers

D. J. Schendel
Comparison fields: 5 of 56
  • Immunology 483
  • Oncology 125
  • Molecular Biology 118
  • Radiology, Nuclear Medicine and Imaging 105
  • Epidemiology 46
Replace Béatrice Payelle‐Brogard with:
Béatrice Payelle‐Brogard France
Jack Treml United States
Gijs M.W. van Schijndel Netherlands
Ray Paxton Canada
T Nakagawa Japan
Satoru Ono Japan
Fabienne Mazerolles France
J Faust United States
Tania F. Rowley United Kingdom
Hirofumi Koshiba Japan
Béatrice Payelle‐Brogard France View profile →
Citations per field, relative to D. J. Schendel
D. J. Schendel · 1×
Citations per year, relative to D. J. Schendel
D. J. Schendel · 1×

Countries citing papers authored by D. J. Schendel

Since Specialization
Citations

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

Fields of papers citing papers by D. J. Schendel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. J. Schendel. 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 D. J. Schendel. The network helps show where D. J. Schendel may publish in the future.

Co-authorship network of co-authors of D. J. Schendel

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 15
2
Phase I trial of an allogeneic gene-modified tumor cell vaccine (RCC-26/CD80/IL-2) in patients with metastatic renal cell carcinoma
4
3 3
4 19
5 1
6 1
7 23
8 33
9 18
10 13
11 39
12 270
13 48
14 18
15 18
16 72
17
Genetic and cellular control of in vitro models of allograft reactivity.
1

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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