Hans-G. Klingemann

1.9k total citations · 1 hit paper
47 papers, 1.5k citations indexed

About

Hans-G. Klingemann is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, Hans-G. Klingemann has authored 47 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Hematology, 13 papers in Immunology and 8 papers in Oncology. Recurrent topics in Hans-G. Klingemann's work include Hematopoietic Stem Cell Transplantation (18 papers), Immune Cell Function and Interaction (10 papers) and Acute Myeloid Leukemia Research (9 papers). Hans-G. Klingemann is often cited by papers focused on Hematopoietic Stem Cell Transplantation (18 papers), Immune Cell Function and Interaction (10 papers) and Acute Myeloid Leukemia Research (9 papers). Hans-G. Klingemann collaborates with scholars based in Canada, United States and Germany. Hans-G. Klingemann's co-authors include Guitta Maki, Jiang-Hong Gong, Ying K. Tam, Jeffrey Martinson, Vincent Ho, Michael J. Barnett, Sally Arai, John D. Shepherd, Heather J. Sutherland and Donna Reece and has published in prestigious journals such as Journal of Clinical Oncology, Blood and The Journal of Immunology.

In The Last Decade

Hans-G. Klingemann

44 papers receiving 1.5k citations

Hit Papers

Characterization of a hum... 1994 2026 2004 2015 1994 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hans-G. Klingemann Canada 16 1.0k 733 450 237 112 47 1.5k
Lutz Uharek Germany 20 777 0.8× 448 0.6× 595 1.3× 266 1.1× 71 0.6× 72 1.3k
Andrew J. Nicol Australia 26 1.8k 1.8× 997 1.4× 371 0.8× 265 1.1× 70 0.6× 60 2.4k
Shotaro Iwamoto Japan 15 680 0.7× 508 0.7× 294 0.7× 266 1.1× 94 0.8× 65 1.2k
R M O'Hara United States 13 885 0.9× 336 0.5× 159 0.4× 274 1.2× 148 1.3× 24 1.5k
A Zander Germany 17 273 0.3× 420 0.6× 465 1.0× 317 1.3× 131 1.2× 51 1.1k
Hitomi Nagayama Japan 19 743 0.7× 312 0.4× 255 0.6× 236 1.0× 59 0.5× 50 1.2k
A.D. Donnenberg United States 16 618 0.6× 264 0.4× 353 0.8× 204 0.9× 69 0.6× 38 1.2k
J R Keller United States 15 561 0.6× 296 0.4× 329 0.7× 484 2.0× 105 0.9× 19 1.2k
DA Vallera United States 23 1.1k 1.1× 329 0.4× 848 1.9× 249 1.1× 152 1.4× 45 1.7k
Stéphane Vigouroux France 22 641 0.6× 583 0.8× 691 1.5× 341 1.4× 206 1.8× 50 1.7k

Countries citing papers authored by Hans-G. Klingemann

Since Specialization
Citations

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

Fields of papers citing papers by Hans-G. Klingemann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hans-G. Klingemann. 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 Hans-G. Klingemann. The network helps show where Hans-G. Klingemann may publish in the future.

Co-authorship network of co-authors of Hans-G. Klingemann

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

All Works

20 of 20 papers shown
1.
Xu, Xiulong, Geetha Rao, Helen Ding, et al.. (2006). Clinicopathological Significance of Major Histocompatibility Complex Class I-Related Chain A and B Expression in Thyroid Cancer. The Journal of Clinical Endocrinology & Metabolism. 91(7). 2704–2712. 42 indexed citations
2.
Miller, Carole B., Edmund K. Waller, Hans-G. Klingemann, et al.. (2004). Lipid formulations of amphotericin B preserve and stabilize renal function in HSCT recipients. Bone Marrow Transplantation. 33(5). 543–548. 24 indexed citations
3.
Arai, Sally & Hans-G. Klingemann. (2003). Hematopoietic stem cell transplantation: bone marrow vs. mobilized peripheral blood. Archives of Medical Research. 34(6). 545–553. 22 indexed citations
4.
Klingemann, Hans-G.. (2002). Mini-Transplants Turning Micro: How Low Can We Go?. Journal of Hematotherapy & Stem Cell Research. 11(6). 859–862. 2 indexed citations
5.
Maki, Guitta, Hans-G. Klingemann, Jeffrey Martinson, & Ying K. Tam. (2001). Factors Regulating the Cytotoxic Activity of the Human Natural Killer Cell Line, NK-92. Journal of Hematotherapy & Stem Cell Research. 10(3). 369–383. 214 indexed citations
6.
Klingemann, Hans-G.. (2001). Cellular Therapy of Cancer with Natural Killer Cells: Will It Ever Work?. Journal of Hematotherapy & Stem Cell Research. 10(1). 23–26. 11 indexed citations
7.
Klingemann, Hans-G., et al.. (2000). . Annals of Oncology. 11(1suppl). 59–61. 2 indexed citations
8.
Tam, Ying K., et al.. (1999). Immunotherapy of Malignant Melanoma in a SCID Mouse Model Using the Highly Cytotoxic Natural Killer Cell Line NK-92. Journal of Hematotherapy. 8(3). 281–290. 106 indexed citations
9.
Tam, Ying K. & Hans-G. Klingemann. (1999). Antileukemic effect of interleukin-2-transduced murine bone marrow after autologous transplantation. Biology of Blood and Marrow Transplantation. 5(4). 231–242. 4 indexed citations
10.
Tam, Ying K. & Hans-G. Klingemann. (1999). Antileukemic effect of interleukin-2-transduced murine bone marrow after autologous transplantation. Biology of Blood and Marrow Transplantation. 5(3). 144–154. 4 indexed citations
11.
12.
Klingemann, Hans-G., et al.. (1994). Establishment and Characterization of a Human Leukemic Cell Line (SR-91) with Features Suggestive of Early Hematopoietic Progenitor Cell Origin. Leukemia & lymphoma. 12(5-6). 463–470. 11 indexed citations
13.
Klingemann, Hans-G. & Elaine K. Wong. (1991). Interleukin-6 does not support interleukin-2 induced generation of human lymphokine-activated killer cells. Cancer Immunology Immunotherapy. 33(6). 395–397. 4 indexed citations
14.
Grigg, Michael E., et al.. (1991). Fibronectin receptor subunit (α5, α4 and β1) mRNA and cell surface expression in human peripheral blood B lymphocytes. Immunology Letters. 28(1). 27–30. 7 indexed citations
15.
Klingemann, Hans-G., Steven G. Self, M Banaji, et al.. (1987). Refractoriness to random donor platelet transfusions in patients with aplastic anaemia: a multivariate analysis of data from 264 cases. British Journal of Haematology. 66(1). 115–121. 2 indexed citations
16.
Seitz, Rainer, et al.. (1985). Fibronectin plasma levels after cadaver kidney transplantation. Annals of Hematology. 50(1). 35–43.
17.
Klingemann, Hans-G., et al.. (1984). Fibronectin and Factor VIII-Related Antigen in Liver Cirrhosis and Acute Liver Failure. Clinical Chemistry and Laboratory Medicine (CCLM). 22(1). 15–9. 3 indexed citations
18.
Klingemann, Hans-G.. (1983). Factor XIII and fibronectin ? new clinical and biological approaches. Annals of Hematology. 46(3). 175–178. 10 indexed citations
19.
Klingemann, Hans-G., et al.. (1983). Fibronectin and Factor VIII-Related Antigen in Acute Leukaemia. Hoppe-Seyler´s Zeitschrift für physiologische Chemie. 364(1). 269–278. 13 indexed citations
20.
Klingemann, Hans-G., et al.. (1982). Degradation of human plasma fibrin stabilizing factor XIII subunits by human granulocytic proteinases. Thrombosis Research. 28(6). 793–801. 16 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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