Vanessa van Ham

569 total citations
8 papers, 367 citations indexed

About

Vanessa van Ham is a scholar working on Immunology, Nephrology and Transplantation. According to data from OpenAlex, Vanessa van Ham has authored 8 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Nephrology and 3 papers in Transplantation. Recurrent topics in Vanessa van Ham's work include Renal Transplantation Outcomes and Treatments (3 papers), Renal Diseases and Glomerulopathies (3 papers) and Immunotherapy and Immune Responses (2 papers). Vanessa van Ham is often cited by papers focused on Renal Transplantation Outcomes and Treatments (3 papers), Renal Diseases and Glomerulopathies (3 papers) and Immunotherapy and Immune Responses (2 papers). Vanessa van Ham collaborates with scholars based in Netherlands, United Kingdom and Australia. Vanessa van Ham's co-authors include Cees van Kooten, Simone A. Joosten, Lorna Paul, Annegreet G. Veldhuis‐Vlug, Kim Zuidwijk, Johan W. de Fijter, Leendert A. Trouw, Bert van den Heuvel, Andrea M. Woltman and Maria C. Borrias and has published in prestigious journals such as Nature Communications, Kidney International and American Journal Of Pathology.

In The Last Decade

Vanessa van Ham

7 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vanessa van Ham Netherlands 5 178 124 91 74 65 8 367
Maria C. Borrias Netherlands 6 303 1.7× 79 0.6× 73 0.8× 78 1.1× 71 1.1× 8 471
Qiuxia Mao China 8 86 0.5× 214 1.7× 69 0.8× 45 0.6× 153 2.4× 15 380
Ryoichi Maenosono Japan 11 93 0.5× 82 0.7× 17 0.2× 76 1.0× 88 1.4× 25 347
Ali‐Reza Biglarnia Sweden 7 101 0.6× 135 1.1× 44 0.5× 39 0.5× 201 3.1× 20 376
Barbara Heitplatz Germany 10 68 0.4× 57 0.5× 26 0.3× 78 1.1× 84 1.3× 30 293
Sophie Gié France 6 314 1.8× 44 0.4× 247 2.7× 87 1.2× 16 0.2× 7 447
Balow Je United States 8 121 0.7× 17 0.1× 91 1.0× 121 1.6× 30 0.5× 11 414
Wendy Wong United States 10 140 0.8× 14 0.1× 26 0.3× 72 1.0× 48 0.7× 21 368
Shinji Tomikawa Japan 11 27 0.2× 43 0.3× 136 1.5× 72 1.0× 69 1.1× 57 342
Ronak Lakhia United States 11 27 0.2× 51 0.4× 38 0.4× 272 3.7× 55 0.8× 15 448

Countries citing papers authored by Vanessa van Ham

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa van Ham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa van Ham. 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 Vanessa van Ham. The network helps show where Vanessa van Ham may publish in the future.

Co-authorship network of co-authors of Vanessa van Ham

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa van Ham. A scholar is included among the top collaborators of Vanessa van Ham 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 Vanessa van Ham. Vanessa van Ham 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.
Ramsbottom, Kelly M., Faruk Sacirbegovic, Edwin D. Hawkins, et al.. (2015). Lethal giant larvae‐1 deficiency enhances the CD8+ effector T‐cell response to antigen challenge in vivo. Immunology and Cell Biology. 94(3). 306–311. 4 indexed citations
2.
Hawkins, Edwin D., Jane Oliaro, Axel Kallies, et al.. (2013). Regulation of asymmetric cell division and polarity by Scribble is not required for humoral immunity. Nature Communications. 4(1). 1801–1801. 56 indexed citations
3.
Woltman, Andrea M., Johan W. de Fijter, Kim Zuidwijk, et al.. (2007). Quantification of dendritic cell subsets in human renal tissue under normal and pathological conditions. Kidney International. 71(10). 1001–1008. 105 indexed citations
4.
Joosten, Simone A., Maria C. Borrias, Vanessa van Ham, et al.. (2005). Genetic profiling of aortic allografts: prothymosin alpha as potential target?. Transplant International. 18(8). 1010–1015.
5.
Joosten, Simone A., Vanessa van Ham, Leendert A. Trouw, et al.. (2005). Antibody Response Against the Glomerular Basement Membrane Protein Agrin in Patients with Transplant Glomerulopathy. American Journal of Transplantation. 5(2). 383–393. 107 indexed citations
6.
Joosten, Simone A., Vanessa van Ham, Maria C. Borrias, Cees van Kooten, & Lorna Paul. (2005). Antibodies against mesangial cells in a rat model of chronic renal allograft rejection. Nephrology Dialysis Transplantation. 20(4). 692–698. 10 indexed citations
7.
Joosten, Simone A., Hallgrímur Benediktsson, Maria C. Borrias, et al.. (2004). ANTI-TUBULAR BASEMENT MEMBRANE ANTIBODIES AND GIANT CELL FORMATION IN A MODEL OF CHRONIC RENAL ALLOGRAFT REJECTION. Transplantation. 77(8). 1295–1297. 2 indexed citations
8.
Joosten, Simone A., Vanessa van Ham, Maria C. Borrias, et al.. (2003). Telomere Shortening and Cellular Senescence in a Model of Chronic Renal Allograft Rejection. American Journal Of Pathology. 162(4). 1305–1312. 83 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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