D. Rill

1.6k total citations · 1 hit paper
10 papers, 1.3k citations indexed

About

D. Rill is a scholar working on Genetics, Hematology and Molecular Biology. According to data from OpenAlex, D. Rill has authored 10 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 4 papers in Hematology and 3 papers in Molecular Biology. Recurrent topics in D. Rill's work include Virus-based gene therapy research (7 papers), Acute Myeloid Leukemia Research (3 papers) and Neuroblastoma Research and Treatments (3 papers). D. Rill is often cited by papers focused on Virus-based gene therapy research (7 papers), Acute Myeloid Leukemia Research (3 papers) and Neuroblastoma Research and Treatments (3 papers). D. Rill collaborates with scholars based in United States. D. Rill's co-authors include R C Moen, James N. Ihle, Robert A. Krance, Malcolm K. Brenner, W. French Anderson, Joseph Mirro, Michael Buschle, Victor M. Santana, Helen E. Heslop and Martha Holladay and has published in prestigious journals such as The Lancet, Blood and British Journal of Cancer.

In The Last Decade

D. Rill

10 papers receiving 1.2k citations

Hit Papers

Gene-marking to trace origin of relapse after autologous ... 1993 2026 2004 2015 1993 200 400 600
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.

  1. Gene-marking to trace origin of relapse after autologous bone-marrow transplantation
    1993 735 citations Malcolm K. Brenner, D. Rill et al. The Lancet profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. Rill United States 8 550 545 539 445 215 10 1.3k
HE Heslop United States 18 313 0.6× 485 0.9× 314 0.6× 460 1.0× 592 2.8× 32 1.4k
WM Roberts United States 12 367 0.7× 348 0.6× 199 0.4× 285 0.6× 263 1.2× 19 1.0k
E Nacheva United Kingdom 17 463 0.8× 295 0.5× 177 0.3× 325 0.7× 234 1.1× 28 1.1k
Neil C. Josephson United States 19 570 1.0× 629 1.2× 448 0.8× 398 0.9× 102 0.5× 48 1.5k
RJ Berenson United States 10 286 0.5× 870 1.6× 179 0.3× 317 0.7× 381 1.8× 16 1.2k
Janet Ayello United States 21 368 0.7× 341 0.6× 216 0.4× 705 1.6× 529 2.5× 117 1.3k
Martha Holladay United States 19 330 0.6× 382 0.7× 370 0.7× 679 1.5× 744 3.5× 21 1.4k
William S. Kloetzer United States 13 337 0.6× 440 0.8× 127 0.2× 208 0.5× 123 0.6× 20 982
Maureen Ward United States 16 793 1.4× 198 0.4× 676 1.3× 404 0.9× 126 0.6× 39 1.1k
PC Nowell United States 16 339 0.6× 352 0.6× 118 0.2× 219 0.5× 327 1.5× 27 1.0k

Countries citing papers authored by D. Rill

Since Specialization
Citations

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

Fields of papers citing papers by D. Rill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Rill

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

All Works

10 of 10 papers shown
1.
2.
Heslop, Helen E., Cliona M. Rooney, D. Rill, Robert A. Krance, & M.K. Brenner. (1996). Use of gene marking in bone marrow transplantation.. PubMed. 20(2). 108–13. 17 indexed citations
3.
Rill, D., et al.. (1994). Gene marking after bone marrow transplantation. European Journal of Cancer. 30(8). 1171–1176. 7 indexed citations
4.
Brenner, M.K., H E Heslop, D. Rill, et al.. (1994). Gene Transfer and Bone Marrow Transplantation. Cold Spring Harbor Symposia on Quantitative Biology. 59(0). 691–697. 8 indexed citations
5.
Leimig, Thasia, et al.. (1994). Immunomodulatory effects of human neuroblastoma cells transduced with a retroviral vector encoding interleukin-2.. PubMed. 1(4). 253–8. 5 indexed citations
6.
7.
Brenner, Malcolm K., D. Rill, Robert A. Krance, et al.. (1993). Gene-marking to trace origin of relapse after autologous bone-marrow transplantation. The Lancet. 341(8837). 85–86. 735 indexed citations breakdown →
8.
Brenner, Malcolm K., Victor M. Santana, D. Rill, et al.. (1993). Gene marking to determine whether autologous marrow infusion restores long-term haemopoiesis in cancer patients. The Lancet. 342(8880). 1134–1137. 338 indexed citations
9.
Rill, D., Michael Buschle, Nicholas K. Foreman, et al.. (1992). Retrovirus-Mediated Gene Transfer as an Approach to Analyze Neuroblastoma Relapse after Autologous Bone Marrow Transplantation. Human Gene Therapy. 3(2). 129–136. 45 indexed citations
10.

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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