J Witte

435 total citations
11 papers, 359 citations indexed

About

J Witte is a scholar working on Cancer Research, Hematology and Molecular Biology. According to data from OpenAlex, J Witte has authored 11 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cancer Research, 5 papers in Hematology and 4 papers in Molecular Biology. Recurrent topics in J Witte's work include Protease and Inhibitor Mechanisms (5 papers), Cell Adhesion Molecules Research (4 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). J Witte is often cited by papers focused on Protease and Inhibitor Mechanisms (5 papers), Cell Adhesion Molecules Research (4 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). J Witte collaborates with scholars based in Netherlands, United States and Denmark. J Witte's co-authors include John A. Foekens, J.J.T.M. Heuvel, Fred C.G.J. Sweep, Nils Brünner, T J Benraad, Manfred Schmitt, J Geurts-Moespot, Maxime P. Look, Todd E. DeFor and Linda J. Burns and has published in prestigious journals such as Blood, British Journal of Cancer and European Journal of Cancer.

In The Last Decade

J Witte

11 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J Witte Netherlands 8 220 147 129 99 81 11 359
Tricia Murdock United States 9 87 0.4× 57 0.4× 49 0.4× 135 1.4× 56 0.7× 16 371
G. Schlimok Germany 9 117 0.5× 209 1.4× 110 0.9× 97 1.0× 6 0.1× 16 351
Lori A. Ehrlich United States 9 48 0.2× 465 3.2× 409 3.2× 302 3.1× 30 0.4× 20 707
I. C. M. Slaper-Cortenbach Netherlands 9 35 0.2× 134 0.9× 253 2.0× 51 0.5× 12 0.1× 13 376
F Letendre Canada 5 71 0.3× 183 1.2× 142 1.1× 74 0.7× 5 0.1× 6 368
Joshua F. Coleman United States 9 60 0.3× 139 0.9× 31 0.2× 96 1.0× 9 0.1× 18 274
Egbert J.A. Gerritsen Netherlands 7 69 0.3× 166 1.1× 48 0.4× 251 2.5× 10 0.1× 8 390
Cynthia Popalis Canada 5 38 0.2× 96 0.7× 79 0.6× 97 1.0× 27 0.3× 5 308
Yueguo Wang China 9 104 0.5× 74 0.5× 61 0.5× 121 1.2× 10 0.1× 21 281
Jacob Haaber Denmark 8 30 0.1× 192 1.3× 87 0.7× 105 1.1× 9 0.1× 13 336

Countries citing papers authored by J Witte

Since Specialization
Citations

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

Fields of papers citing papers by J Witte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J Witte

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

All Works

11 of 11 papers shown
1.
Arora, Mukta, J Witte, Todd E. DeFor, et al.. (2008). New classification of chronic GVHD: added clarity from the consensus diagnoses. Bone Marrow Transplantation. 43(2). 149–153. 66 indexed citations
2.
Arora, Mukta, J Witte, Todd E. DeFor, et al.. (2007). New Classification of Chronic Graft Versus Host Disease: Added Clarity from the Consensus Diagnoses.. Blood. 110(11). 41–41. 5 indexed citations
3.
Witte, J, John A. Foekens, Nils Brünner, et al.. (2001). Prognostic impact of urokinase-type plasminogen activator receptor (uPAR) in cytosols and pellet extracts derived from primary breast tumours. British Journal of Cancer. 85(1). 85–92. 38 indexed citations
4.
Witte, J, Fred C.G.J. Sweep, J.G.M. Klijn, et al.. (1999). Prognostic value of tissue-type plasminogen activator (tPA) and its complex with the type-1 inhibitor (PAI-1) in breast cancer. British Journal of Cancer. 80(1-2). 286–294. 37 indexed citations
5.
Witte, J, Fred C.G.J. Sweep, J.G.M. Klijn, et al.. (1999). Prognostic impact of urokinase-type plasminogen activator (uPA) and its inhibitor (PAI-1) in cytosols and pellet extracts derived from 892 breast cancer patients. British Journal of Cancer. 79(7-8). 1190–1198. 38 indexed citations
7.
Witte, J, et al.. (1998). [Geographical differences of thyroid carcinoma and basic molecular principles].. PubMed. 115. 200–2. 2 indexed citations
8.
Berns, E., J Witte, J.G.M. Klijn, et al.. (1997). Prognostic value of TP53 protein accumulation in human primary breast cancer: an analysis by luminometric immunoassay on 1491 tumor cytosols.. PubMed. 17(4B). 3003–6. 8 indexed citations
9.
Benraad, Th. J., J Geurts-Moespot, J Grøndahl-Hansen, et al.. (1996). Immunoassays (ELISA) of urokinase-type plasminogen activator (uPA): Report of an EORTC/BIOMED-1 Workshop. European Journal of Cancer. 32(8). 1371–1381. 57 indexed citations
10.
Weckermann, Dorothea, et al.. (1994). [Solitary metastasis to the head of the pancreas in hypernephroid carcinoma].. PubMed. 112(28). 388–90. 7 indexed citations
11.
Schlimok, G., et al.. (1989). [Bone marrow micrometastases in colorectal cancers].. PubMed. 107(2). 59–63. 4 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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