AC Bloem

529 total citations
10 papers, 459 citations indexed

About

AC Bloem is a scholar working on Hematology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, AC Bloem has authored 10 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 4 papers in Immunology and Allergy and 3 papers in Molecular Biology. Recurrent topics in AC Bloem's work include Multiple Myeloma Research and Treatments (8 papers), Cell Adhesion Molecules Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). AC Bloem is often cited by papers focused on Multiple Myeloma Research and Treatments (8 papers), Cell Adhesion Molecules Research (4 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). AC Bloem collaborates with scholars based in Netherlands, Austria and Switzerland. AC Bloem's co-authors include HM Lokhorst, AW Dekker, RH van Oers, Martin De Smet, Sigrid Klein, Reinhard Stauder, Ursula Günthert, Marjolein van Driel, Frans P. Nijkamp and Paul A. J. Henricks and has published in prestigious journals such as Blood, FEBS Letters and Leukemia.

In The Last Decade

AC Bloem

10 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
AC Bloem Netherlands	8	282	242	154	145	69	10	459
J DiCarlo United States	6	113 0.4×	111 0.5×	88 0.6×	111 0.8×	44 0.6×	6	350
Tomomi Hirosaki Japan	10	81 0.3×	144 0.6×	53 0.3×	264 1.8×	155 2.2×	11	455
Juanita Wizniak Canada	7	152 0.5×	172 0.7×	70 0.5×	21 0.1×	66 1.0×	9	360
Suvi Natunen Finland	12	84 0.3×	308 1.3×	54 0.4×	25 0.2×	48 0.7×	14	509
Steven King United States	3	54 0.2×	288 1.2×	116 0.8×	87 0.6×	19 0.3×	8	469
Gian Carlo Alghisi Switzerland	8	30 0.1×	314 1.3×	125 0.8×	212 1.5×	56 0.8×	9	509
Eva‐Maria Schnaeker Germany	6	92 0.3×	113 0.5×	77 0.5×	72 0.5×	47 0.7×	6	345
Mercedes Hernández del Cerro Spain	9	94 0.3×	229 0.9×	134 0.9×	75 0.5×	40 0.6×	9	462
N. Chucholowski Germany	6	150 0.5×	178 0.7×	174 1.1×	119 0.8×	44 0.6×	6	507
Eva Altrock Germany	8	67 0.2×	101 0.4×	73 0.5×	71 0.5×	66 1.0×	15	314

Countries citing papers authored by AC Bloem

Since Specialization

Citations

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

Fields of papers citing papers by AC Bloem

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of AC Bloem

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

All Works

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10 of 10 papers shown

1.

Kessel, Berris van, et al.. (2003). Antigens shared by malignant plasma cells and normal B cells may be involved in graftversusmyeloma. Clinical & Experimental Immunology. 131(2). 340–346. 3 indexed citations

2.

Eisterer, Wolfgang, Oliver Bechter, Wolfgang Hilbe, et al.. (2001). CD44 isoforms are differentially regulated in plasma cell dyscrasias and CD44v9 represents a new independent prognostic parameter in multiple myeloma. Leukemia Research. 25(12). 1051–1057. 32 indexed citations

3.

Bloem, AC, et al.. (1999). Bcl-2 antisense therapy in multiple myeloma.. PubMed. 47(2). 216–20. 19 indexed citations

4.

Driel, Marjolein van, et al.. (1998). CD44 isoforms distinguish between bone marrow plasma cells from normal individuals and patients with multiple myeloma at different stages of disease. Leukemia. 12(11). 1821–1828. 33 indexed citations

5.

Stauder, Reinhard, Marjolein van Driel, Christoph Schwärzler, et al.. (1996). Different CD44 splicing patterns define prognostic subgroups in multiple myeloma. Blood. 88(8). 3101–3108. 48 indexed citations

6.

Bloemen, P.G.M., Paul A. J. Henricks, Louis van Bloois, et al.. (1995). Adhesion molecules: a new target for immunoliposome‐mediated drug delivery. FEBS Letters. 357(2). 140–144. 97 indexed citations

7.

Lokhorst, HM, et al.. (1994). Primary tumor cells of myeloma patients induce interleukin-6 secretion in long-term bone marrow cultures. Blood. 84(7). 2269–2277. 14 indexed citations

8.

Lokhorst, HM, et al.. (1994). Primary tumor cells of myeloma patients induce interleukin-6 secretion in long-term bone marrow cultures. Blood. 84(7). 2269–2277. 133 indexed citations

9.

Lokhorst, HM, et al.. (1992). Lymphocyte function-associated antigen-1 expression on plasma cells correlates with tumor growth in multiple myeloma. Blood. 79(8). 2068–2075. 76 indexed citations

10.

Lokhorst, HM, et al.. (1992). Lymphocyte function-associated antigen-1 expression on plasma cells correlates with tumor growth in multiple myeloma. Blood. 79(8). 2068–2075. 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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