Eva Rudd

913 total citations
9 papers, 458 citations indexed

About

Eva Rudd is a scholar working on Hematology, Immunology and Infectious Diseases. According to data from OpenAlex, Eva Rudd has authored 9 papers receiving a total of 458 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 6 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Eva Rudd's work include Autoimmune and Inflammatory Disorders Research (8 papers), Immune Cell Function and Interaction (6 papers) and Parvovirus B19 Infection Studies (4 papers). Eva Rudd is often cited by papers focused on Autoimmune and Inflammatory Disorders Research (8 papers), Immune Cell Function and Interaction (6 papers) and Parvovirus B19 Infection Studies (4 papers). Eva Rudd collaborates with scholars based in Sweden, United States and Türkiye. Eva Rudd's co-authors include Jan‐Inge Henter, Chengyun Zheng, Magnus Nordenskjöld, Yenan T. Bryceson, Hans‐Gustaf Ljunggren, Kjell Hultenby, Josefine Edner, Stephanie M. Wood, Jaap Jan Boelens and Kim Ramme and has published in prestigious journals such as Blood, British Journal of Haematology and Journal of Medical Genetics.

In The Last Decade

Eva Rudd

9 papers receiving 452 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Eva Rudd Sweden	8	333	308	166	49	41	9	458
Marjorie Côte France	5	336 1.0×	308 1.0×	175 1.1×	65 1.3×	56 1.4×	6	468
Yunze Zhao China	12	206 0.6×	241 0.8×	149 0.9×	28 0.6×	50 1.2×	43	425
Marie Meeths Sweden	16	497 1.5×	473 1.5×	247 1.5×	51 1.0×	83 2.0×	22	730
Josefine Edner Sweden	5	224 0.7×	172 0.6×	98 0.6×	37 0.8×	26 0.6×	7	321
Kim Ramme Sweden	6	180 0.5×	146 0.5×	82 0.5×	11 0.2×	22 0.5×	11	256
Judith Landman France	10	164 0.5×	251 0.8×	151 0.9×	7 0.1×	64 1.6×	11	391
Chen‐Hsuan Ho Taiwan	4	217 0.7×	101 0.3×	72 0.4×	71 1.4×	68 1.7×	6	338
Paige Tedrick United States	4	242 0.7×	234 0.8×	129 0.8×	8 0.2×	55 1.3×	6	333
Robert Harper United States	4	258 0.8×	109 0.4×	103 0.6×	8 0.2×	18 0.4×	5	424
Lloyd Cairns United States	7	231 0.7×	78 0.3×	26 0.2×	46 0.9×	147 3.6×	13	403

Countries citing papers authored by Eva Rudd

Since Specialization

Citations

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

Fields of papers citing papers by Eva Rudd

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Rudd

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

All Works

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9 of 9 papers shown

Öfverholm, Ingegerd, Anh Nhi Tran, Linda Olsson, et al.. (2016). Detailed gene dose analysis reveals recurrent focal gene deletions in pediatric B-cell precursor acute lymphoblastic leukemia. Leukemia & lymphoma. 57(9). 2161–2170. 10 indexed citations

Ma, Jinxia, André Ortlieb Guerreiro‐Cacais, Eva Rudd, et al.. (2011). Syntaxin 11 marks a distinct intracellular compartment recruited to the immunological synapse of NK cells to colocalize with cytotoxic granules. Journal of Cellular and Molecular Medicine. 16(1). 129–141. 25 indexed citations

Meeths, Marie, Yenan T. Bryceson, Eva Rudd, et al.. (2009). Clinical presentation of Griscelli syndrome type 2 and spectrum of RAB27A mutations. Pediatric Blood & Cancer. 54(4). 563–572. 68 indexed citations

Montfrans, Joris M. van, Eva Rudd, Lisette van de Corput, et al.. (2008). Fatal hemophagocytic lymphohistiocytosis in X‐linked chronic granulomatous disease associated with a perforin gene variant. Pediatric Blood & Cancer. 52(4). 527–529. 23 indexed citations

Horne, AnnaCarin, Kim Ramme, Eva Rudd, et al.. (2008). Characterization of PRF1, STX11 and UNC13D genotype‐phenotype correlations in familial hemophagocytic lymphohistiocytosis. British Journal of Haematology. 143(1). 75–83. 65 indexed citations

Ma, Daoxin, Eva Rudd, Josefine Edner, et al.. (2007). Sequence analysis of the SRGN, AP3B1, ARF6, and SH2D1A genes in familial hemophagocytic lymphohistiocytosis. Pediatric Blood & Cancer. 50(5). 1067–1069. 2 indexed citations

Edner, Josefine, Eva Rudd, Chengyun Zheng, et al.. (2007). Severe bacteria‐associated hemophagocytic lymphohistiocytosis in an extremely premature infant. Acta Paediatrica. 96(11). 1703–1706. 11 indexed citations

Rudd, Eva, Yenan T. Bryceson, Chengyun Zheng, et al.. (2007). Spectrum, and clinical and functional implications of UNC13D mutations in familial haemophagocytic lymphohistiocytosis. Journal of Medical Genetics. 45(3). 134–141. 41 indexed citations

Bryceson, Yenan T., Eva Rudd, Chengyun Zheng, et al.. (2007). Defective cytotoxic lymphocyte degranulation in syntaxin-11–deficient familial hemophagocytic lymphohistiocytosis 4 (FHL4) patients. Blood. 110(6). 1906–1915. 213 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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