GJ Schiller

759 total citations
14 papers, 620 citations indexed

About

GJ Schiller is a scholar working on Hematology, Molecular Biology and Immunology. According to data from OpenAlex, GJ Schiller has authored 14 papers receiving a total of 620 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Hematology, 6 papers in Molecular Biology and 3 papers in Immunology. Recurrent topics in GJ Schiller's work include Acute Myeloid Leukemia Research (7 papers), Retinoids in leukemia and cellular processes (4 papers) and Immunotherapy and Immune Responses (3 papers). GJ Schiller is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Retinoids in leukemia and cellular processes (4 papers) and Immunotherapy and Immune Responses (3 papers). GJ Schiller collaborates with scholars based in United States, Australia and Canada. GJ Schiller's co-authors include Daniel V.T. Catenacci, Masahiro Kizaki, Akihiko Sakashita, Seppo Pakkala, RJ Berenson, Jiang Cao, MI Dawson, Loni Calhoun, S O'Rourke and L. D. Petz and has published in prestigious journals such as Blood, Life Sciences and Leukemia.

In The Last Decade

GJ Schiller

14 papers receiving 596 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
GJ Schiller United States 10 370 289 116 92 76 14 620
S Woodward United States 12 192 0.5× 278 1.0× 40 0.3× 14 0.2× 52 0.7× 14 504
Laurie Cellars Canada 8 188 0.5× 74 0.3× 65 0.6× 53 0.6× 112 1.5× 11 436
Cecilia Garrè Italy 13 52 0.1× 252 0.9× 78 0.7× 39 0.4× 72 0.9× 42 575
Kouichi Takeuchi Japan 11 89 0.2× 120 0.4× 154 1.3× 40 0.4× 30 0.4× 44 410
Catherine Fortier France 14 115 0.3× 222 0.8× 227 2.0× 9 0.1× 38 0.5× 23 623
J. Watt Australia 6 196 0.5× 113 0.4× 42 0.4× 44 0.5× 43 0.6× 11 363
Hady Wardan Australia 13 54 0.1× 225 0.8× 14 0.1× 62 0.7× 110 1.4× 20 348
Claudine Ebel France 7 32 0.1× 247 0.9× 218 1.9× 53 0.6× 24 0.3× 8 500
Xingguo Zhu United States 13 65 0.2× 375 1.3× 65 0.6× 61 0.7× 136 1.8× 30 586
Soo-Young Choi South Korea 14 41 0.1× 144 0.5× 37 0.3× 20 0.2× 45 0.6× 33 460

Countries citing papers authored by GJ Schiller

Since Specialization
Citations

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

Fields of papers citing papers by GJ Schiller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of GJ Schiller

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

All Works

14 of 14 papers shown
2.
Catenacci, Daniel V.T. & GJ Schiller. (2005). Myelodysplasic syndromes: A comprehensive review. Blood Reviews. 19(6). 301–319. 64 indexed citations
3.
Said, Jonathan W., et al.. (2002). Interferon-α induces dendritic cell differentiation of CML mononuclear cells in vitro and in vivo. Leukemia. 16(8). 1484–1489. 48 indexed citations
4.
Schiller, GJ. (1998). Treatment of resistant disease.. PubMed. 12 Suppl 1. S20–4. 18 indexed citations
5.
Morosetti, Roberta, F Grignani, Pier Giuseppe Pelicci, et al.. (1996). Infrequent alterations of the RAR alpha gene in acute myelogenous leukemias, retinoic acid-resistant acute promyelocytic leukemias, myelodysplastic syndromes, and cell lines. Blood. 87(10). 4399–4403. 28 indexed citations
6.
Schiller, GJ. (1996). Postremission therapy of acute myeloid leukemia in older adults.. PubMed. 10 Suppl 1. S18–20. 8 indexed citations
7.
Schiller, GJ, et al.. (1995). Importance of communication between transfusion medicine specialists and clinicians.. PubMed. 103(4 Suppl 1). S3–8. 2 indexed citations
8.
Cao, Jiang, et al.. (1994). The hematopoietic stem cell antigen, CD34, is not expressed on the malignant cells in multiple myeloma. Blood. 84(10). 3283–3290. 6 indexed citations
9.
Cao, Jiang, et al.. (1994). The hematopoietic stem cell antigen, CD34, is not expressed on the malignant cells in multiple myeloma. Blood. 84(10). 3283–3290. 87 indexed citations
10.
Sakashita, Akihiko, Masahiro Kizaki, Seppo Pakkala, et al.. (1993). 9-cis-retinoic acid: effects on normal and leukemic hematopoiesis in vitro. Blood. 81(4). 1009–1016. 12 indexed citations
11.
Sakashita, Akihiko, Masahiro Kizaki, Seppo Pakkala, et al.. (1993). 9-cis-retinoic acid: effects on normal and leukemic hematopoiesis in vitro. Blood. 81(4). 1009–1016. 98 indexed citations
14.
Schiller, GJ. (1979). Reduced binding of (3H)-Quinuclidinyl benzilate associated with chronically low acetylcholinesterase activity. Life Sciences. 24(13). 1159–1163. 130 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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