Michael Nissen

596 total citations
8 papers, 157 citations indexed

About

Michael Nissen is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Michael Nissen has authored 8 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Oncology and 2 papers in Molecular Biology. Recurrent topics in Michael Nissen's work include Immune Cell Function and Interaction (3 papers), Single-cell and spatial transcriptomics (2 papers) and Immunotherapy and Immune Responses (2 papers). Michael Nissen is often cited by papers focused on Immune Cell Function and Interaction (3 papers), Single-cell and spatial transcriptomics (2 papers) and Immunotherapy and Immune Responses (2 papers). Michael Nissen collaborates with scholars based in Australia, Canada and United States. Michael Nissen's co-authors include Stephen R. Mattarollo, Erica K. Sloan, Pui Yeng Lam, Kathryn J. Steadman, Esther Lau, Peter J. Cabot, Graham R. Leggatt, Megan S. F. Soon, T Kobayashi and Colm Keane and has published in prestigious journals such as Blood, Bioinformatics and Frontiers in Immunology.

In The Last Decade

Michael Nissen

7 papers receiving 156 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michael Nissen Australia	5	59	53	52	31	23	8	157
Filipe Araujo Hoffmann United States	1	60 1.0×	40 0.8×	33 0.6×	25 0.8×	27 1.2×	2	124
Haley C. Cropper United States	7	18 0.3×	20 0.4×	21 0.4×	39 1.3×	21 0.9×	12	145
Maria Malentacchi Italy	9	28 0.5×	48 0.9×	20 0.4×	24 0.8×	12 0.5×	17	182
Tatiana Perova Russia	6	65 1.1×	12 0.2×	15 0.3×	69 2.2×	19 0.8×	15	148
Marion I. Stunault United States	5	35 0.6×	8 0.2×	47 0.9×	59 1.9×	37 1.6×	8	145
Caitlin S. Williamson United States	3	45 0.8×	15 0.3×	9 0.2×	31 1.0×	18 0.8×	3	80
Lucía Alonso-Magdalena Sweden	9	13 0.2×	42 0.8×	38 0.7×	27 0.9×	19 0.8×	16	204
Daniela Fux Austria	8	43 0.7×	39 0.7×	22 0.4×	58 1.9×	30 1.3×	11	170
G Savettieri Italy	6	51 0.9×	13 0.2×	39 0.8×	20 0.6×	16 0.7×	11	150
S. J. M. Weatherby United Kingdom	5	18 0.3×	29 0.5×	89 1.7×	37 1.2×	5 0.2×	7	229

Countries citing papers authored by Michael Nissen

Since Specialization

Citations

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

Fields of papers citing papers by Michael Nissen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Nissen

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

All Works

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8 of 8 papers shown

Nissen, Michael, Xuehai Wang, Anita K. Gandhi, et al.. (2023). SpatialSort: a Bayesian model for clustering and cell population annotation of spatial proteomics data. Bioinformatics. 39(Supplement_1). i131–i139. 2 indexed citations

Lavoie, Jean‐Michel, Elizabeth A. Chavez, Lucia Nappi, et al.. (2022). Comprehensive immune profiling of patients with advanced urothelial or renal cell carcinoma receiving immune checkpoint blockade. Frontiers in Oncology. 12. 973402–973402. 3 indexed citations

Nissen, Michael, Xuehai Wang, Clémentine Sarkozy, et al.. (2021). Immune Profiling of Diagnostic DLBCL Biopsies Dramatically Improves upon Cell-of-Origin Risk Stratification. Blood. 138(Supplement 1). 719–719.

Nissen, Michael, Esther Lau, Peter J. Cabot, & Kathryn J. Steadman. (2019). Baltic amber teething necklaces: could succinic acid leaching from beads provide anti-inflammatory effects?. BMC Complementary and Alternative Medicine. 19(1). 162–162. 20 indexed citations

Soon, Megan S. F., T Kobayashi, Michael Nissen, et al.. (2018). Therapeutic vaccination with 4–1BB co-stimulation eradicates mouse acute myeloid leukemia. OncoImmunology. 7(10). e1486952–e1486952. 16 indexed citations

Tuong, Zewen Kelvin, T Kobayashi, Megan S. F. Soon, et al.. (2017). B cell lymphoma progression promotes the accumulation of circulating Ly6Clo monocytes with immunosuppressive activity. OncoImmunology. 7(2). e1393599–e1393599. 15 indexed citations

Lam, Pui Yeng, Michael Nissen, & Stephen R. Mattarollo. (2017). Invariant Natural Killer T Cells in Immune Regulation of Blood Cancers: Harnessing Their Potential in Immunotherapies. Frontiers in Immunology. 8. 1355–1355. 23 indexed citations

Nissen, Michael, Erica K. Sloan, & Stephen R. Mattarollo. (2017). β-Adrenergic Signaling Impairs Antitumor CD8+ T-cell Responses to B-cell Lymphoma Immunotherapy. Cancer Immunology Research. 6(1). 98–109. 78 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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