FJ Bot

1.0k total citations
24 papers, 849 citations indexed

About

FJ Bot is a scholar working on Hematology, Immunology and Oncology. According to data from OpenAlex, FJ Bot has authored 24 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 10 papers in Immunology and 6 papers in Oncology. Recurrent topics in FJ Bot's work include Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (6 papers) and Immune Cell Function and Interaction (5 papers). FJ Bot is often cited by papers focused on Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (6 papers) and Immune Cell Function and Interaction (5 papers). FJ Bot collaborates with scholars based in Netherlands, United States and Canada. FJ Bot's co-authors include Bob Löwenberg, Anton H. N. Hopman, Lucas van Eijk, L Broeders, J.J. Manni, Adri C. Voogd, Harriët C. Hafkamp, Ernst‐Jan M. Speel, Annick Haesevoets and F.C.S. Ramaekers and has published in prestigious journals such as Blood, Neurology and Annals of Oncology.

In The Last Decade

FJ Bot

24 papers receiving 808 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
FJ Bot Netherlands 14 235 231 226 223 184 24 849
H Steininger Germany 18 108 0.5× 256 1.1× 68 0.3× 208 0.9× 432 2.3× 37 887
Martin Görner Germany 13 159 0.7× 123 0.5× 82 0.4× 585 2.6× 202 1.1× 23 939
Cosimo G. Sciotto United States 7 184 0.8× 195 0.8× 53 0.2× 527 2.4× 106 0.6× 11 826
Nobuyuki Bandoh Japan 18 108 0.5× 379 1.6× 49 0.2× 504 2.3× 183 1.0× 63 1.0k
Geraldine Pinkus United States 15 90 0.4× 143 0.6× 137 0.6× 390 1.7× 99 0.5× 25 1.1k
Marco Ungari Italy 15 39 0.2× 264 1.1× 61 0.3× 483 2.2× 241 1.3× 53 978
Matthias Krams Germany 20 94 0.4× 99 0.4× 30 0.1× 335 1.5× 134 0.7× 30 952
WG Woods United States 15 51 0.2× 131 0.6× 937 4.1× 307 1.4× 50 0.3× 26 1.3k
Fethi Guémira Tunisia 12 30 0.1× 331 1.4× 189 0.8× 176 0.8× 55 0.3× 54 1.0k
Mona Anand India 18 26 0.1× 175 0.8× 273 1.2× 209 0.9× 84 0.5× 43 908

Countries citing papers authored by FJ Bot

Since Specialization
Citations

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

Fields of papers citing papers by FJ Bot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of FJ Bot

This figure shows the co-authorship network connecting the top 25 collaborators of FJ Bot. A scholar is included among the top collaborators of FJ Bot 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 FJ Bot. FJ Bot 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.
Krijgsman, Oscar, Margaretha G.M. Roemer, Stefanie Slot, et al.. (2013). Dissecting the gray zone between follicular lymphoma and marginal zone lymphoma using morphological and genetic features. Haematologica. 98(12). 1921–1929. 6 indexed citations
2.
Hafkamp, Harriët C., J.J. Manni, Annick Haesevoets, et al.. (2008). Marked differences in survival rate between smokers and nonsmokers with HPV 16‐associated tonsillar carcinomas. International Journal of Cancer. 122(12). 2656–2664. 274 indexed citations
3.
Hofman, Pieter, et al.. (2001). Overwhelming CNS cryptococcus in AIDS. Neurology. 57(9). 1560–1560. 3 indexed citations
4.
Brauw, L. M. de, et al.. (1999). False-Positive Cytology in Diagnostic Laparoscopy due to Ectopic Pancreas. Digestive Surgery. 16(5). 434–436. 6 indexed citations
5.
Schuuring, Ed, FJ Bot, Jos Hermans, et al.. (1999). Gastric low-grade MALT lymphoma, high-grade MALT lymphoma and diffuse large B cell lymphoma show different frequencies of trisomy. Leukemia. 13(5). 799–807. 50 indexed citations
6.
7.
Jansen, Maurice P.H.M., Barbie M. Machiels, Anton H. N. Hopman, et al.. (1997). Comparison of A and B‐type lamin expression in reactive lymph nodes and nodular sclerosing Hodgkin's disease. Histopathology. 31(4). 304–312. 32 indexed citations
8.
Gisbertz, Ingrid, et al.. (1997). Proliferation and apoptosis in primary gastric B‐cell non‐Hodgkin's lymphoma. Histopathology. 30(2). 152–159. 18 indexed citations
9.
Jonkers, Daisy, Ingrid Gisbertz, Adriaan de Bruı̈ne, et al.. (1997). Helicobacter pylori and non‐Helicobacter pylori bacterial flora in gastric mucosal and tumour specimens of patients with primary gastric lymphoma. European Journal of Clinical Investigation. 27(11). 885–892. 17 indexed citations
10.
Gisbertz, Ingrid, Daisy Jonkers, J. W. Arends, et al.. (1997). Specific detection of Helicobactor pylori and non-Helicobactor pylori flora in small-and large-cell primary gastric B-cell non-Hodgkin's lymphoma. Annals of Oncology. 8. S33–S36. 8 indexed citations
11.
Backx, Bianca, L Broeders, FJ Bot, & Bob Löwenberg. (1991). Positive and negative effects of tumor necrosis factor on colony growth from highly purified normal marrow progenitors.. PubMed. 5(1). 66–70. 48 indexed citations
12.
Bot, FJ, Lucas van Eijk, P Schipper, Bianca Backx, & Bob Löwenberg. (1990). Synergistic effects between GM-CSF and G-CSF or M-CSF on highly enriched human marrow progenitor cells.. PubMed. 4(5). 325–8. 36 indexed citations
13.
Delwel, Ruud, C van Buitenen, Mohammad Salem, et al.. (1989). Interleukin-1 stimulates proliferation of acute myeloblastic leukemia cells by induction of granulocyte-macrophage colony-stimulating factor release. Blood. 74(2). 586–593. 82 indexed citations
14.
Bot, FJ, Lucas van Eijk, P Schipper, & Bob Löwenberg. (1989). Effects of human interleukin-3 on granulocytic colony-forming cells in human bone marrow. Blood. 73(5). 1157–1160. 16 indexed citations
15.
Bot, FJ, Lucas van Eijk, L Broeders, LA Aarden, & Bob Löwenberg. (1989). Interleukin-6 synergizes with M-CSF in the formation of macrophage colonies from purified human marrow progenitor cells. Blood. 73(2). 435–437. 5 indexed citations
16.
Bot, FJ, Lucas van Eijk, P Schipper, & Bob Löwenberg. (1989). Human granulocyte-macrophage colony-stimulating factor (GM-CSF) stimulates immature marrow precursors but no CFU-GM, CFU-G, or CFU-M.. PubMed. 17(3). 292–5. 18 indexed citations
17.
Delwel, Ruud, C van Buitenen, Mohammad Salem, et al.. (1989). Interleukin-1 stimulates proliferation of acute myeloblastic leukemia cells by induction of granulocyte-macrophage colony-stimulating factor release. Blood. 74(2). 586–593. 3 indexed citations
18.
Bot, FJ, Lambert C. J. Dorssers, Gerard Wagemaker, & Bob Löwenberg. (1988). Stimulating spectrum of human recombinant multi-CSF (IL-3) on human marrow precursors: importance of accessory cells. Blood. 71(6). 1609–1614. 65 indexed citations
19.
Bot, FJ, Lambert C. J. Dorssers, Gerard Wagemaker, & Bob Löwenberg. (1988). Stimulating spectrum of human recombinant multi-CSF (IL-3) on human marrow precursors: importance of accessory cells. Blood. 71(6). 1609–1614. 11 indexed citations
20.
Delwel, Ruud, I.P. Touw, FJ Bot, & Bob Löwenberg. (1986). Fucose binding lectin for characterizing acute myeloid leukemia progenitor cells. Blood. 68(1). 41–45. 19 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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