K Schiffman

1.1k total citations · 1 hit paper
8 papers, 851 citations indexed

About

K Schiffman is a scholar working on Oncology, Hematology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, K Schiffman has authored 8 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Oncology, 5 papers in Hematology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in K Schiffman's work include Hematopoietic Stem Cell Transplantation (4 papers), Immunotherapy and Immune Responses (2 papers) and Hematological disorders and diagnostics (2 papers). K Schiffman is often cited by papers focused on Hematopoietic Stem Cell Transplantation (4 papers), Immunotherapy and Immune Responses (2 papers) and Hematological disorders and diagnostics (2 papers). K Schiffman collaborates with scholars based in United States and Germany. K Schiffman's co-authors include Ted Gooley, Jack W. Singer, K Lilleby, F R Appelbaum, Rainer Storb, Scott D. Rowley, Taner Demirer, Jan‐Stephan Sanders, Charles H. Weaver and Keith L. Knutson and has published in prestigious journals such as Journal of Clinical Oncology, Endocrine Related Cancer and Bone Marrow Transplantation.

In The Last Decade

K Schiffman

8 papers receiving 821 citations

Hit Papers

Factors that influence collection and engraftment of auto... 1995 2026 2005 2015 1995 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
K Schiffman United States 8 605 456 212 125 102 8 851
J Nelson United States 8 654 1.1× 423 0.9× 155 0.7× 132 1.1× 145 1.4× 9 859
P Buchinger Austria 13 411 0.7× 136 0.3× 196 0.9× 124 1.0× 81 0.8× 22 632
E. Wunder France 11 332 0.5× 306 0.7× 121 0.6× 147 1.2× 98 1.0× 28 696
T. Karakas Germany 11 346 0.6× 220 0.5× 153 0.7× 478 3.8× 122 1.2× 15 858
Hiroyuki Takahira Japan 15 305 0.5× 169 0.4× 197 0.9× 203 1.6× 134 1.3× 40 643
Josefina Galende Spain 13 635 1.0× 329 0.7× 175 0.8× 469 3.8× 292 2.9× 34 893
TE Witzig United States 10 502 0.8× 307 0.7× 221 1.0× 322 2.6× 232 2.3× 13 795
Isabel Marugán Spain 15 145 0.2× 273 0.6× 78 0.4× 177 1.4× 153 1.5× 29 620
Guillermo Martín–Núñez Spain 13 572 0.9× 248 0.5× 168 0.8× 416 3.3× 289 2.8× 26 822
JA Lust United States 9 599 1.0× 370 0.8× 241 1.1× 347 2.8× 346 3.4× 13 917

Countries citing papers authored by K Schiffman

Since Specialization
Citations

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

Fields of papers citing papers by K Schiffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of K Schiffman

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

All Works

8 of 8 papers shown
1.
Bernhard, H., Lupe G. Salazar, K Schiffman, et al.. (2002). Vaccination against the HER-2/neu oncogenic protein.. Endocrine Related Cancer. 9(1). 33–44. 43 indexed citations
2.
Schiffman, K, et al.. (2000). Delayed-type hypersensitivity response is a predictor of peripheral blood T-cell immunity after HER-2/neu peptide immunization.. PubMed. 6(4). 1347–50. 92 indexed citations
3.
Singer, Jack W., K Schiffman, Leona Holmberg, et al.. (1997). High-dose busulfan, melphalan, thiotepa and peripheral blood stem cell infusion for the treatment of metastatic breast cancer. Bone Marrow Transplantation. 19(12). 1183–1189. 26 indexed citations
4.
Schiffman, K, CD Buckner, Richard T. Maziarz, et al.. (1997). High-dose busulfan, melphalan, and thiotepa followed by autologous peripheral blood stem cell transplantation in patients with aggressive lymphoma or relapsed Hodgkin's disease.. PubMed. 3(5). 261–6. 22 indexed citations
5.
Singer, Jack W., Scott D. Rowley, Taner Demirer, et al.. (1996). High-dose therapy followed by autologous hematopoietic stem-cell infusion for patients with multiple myeloma.. Journal of Clinical Oncology. 14(5). 1447–1456. 83 indexed citations
6.
Demirer, Taner, S Rowley, CD Buckner, et al.. (1995). Peripheral-blood stem-cell collections after paclitaxel, cyclophosphamide, and recombinant human granulocyte colony-stimulating factor in patients with breast and ovarian cancer.. Journal of Clinical Oncology. 13(7). 1714–1719. 42 indexed citations
7.
Singer, Jack W., F R Appelbaum, Scott D. Rowley, et al.. (1995). Factors that influence collection and engraftment of autologous peripheral-blood stem cells.. Journal of Clinical Oncology. 13(10). 2547–2555. 529 indexed citations breakdown →
8.
Schiffman, K, R Clift, F R Appelbaum, et al.. (1993). Consequences of cryopreserving first remission autologous marrow for use after relapse in patients with acute myeloid leukemia.. PubMed. 11(3). 227–32. 14 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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