Martin Sims

980 total citations
55 papers, 757 citations indexed

About

Martin Sims is a scholar working on Molecular Biology, Immunology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Martin Sims has authored 55 papers receiving a total of 757 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 17 papers in Immunology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Martin Sims's work include Monoclonal and Polyclonal Antibodies Research (8 papers), Ubiquitin and proteasome pathways (7 papers) and T-cell and B-cell Immunology (7 papers). Martin Sims is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (8 papers), Ubiquitin and proteasome pathways (7 papers) and T-cell and B-cell Immunology (7 papers). Martin Sims collaborates with scholars based in United Kingdom, United States and Poland. Martin Sims's co-authors include Michael Taussig, J.S. Crowe, Helen J. Cooper, Dirk R. Gewert, D Parker, M. A. Smith, E.A. Stura, Jairo H. Arevalo, Ian A. Wilson and Christian A. Hassig and has published in prestigious journals such as Nucleic Acids Research, Blood and The Journal of Immunology.

In The Last Decade

Martin Sims

54 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Sims United Kingdom 16 362 219 127 102 78 55 757
Róisín O’Flaherty Ireland 16 606 1.7× 158 0.7× 210 1.7× 75 0.7× 57 0.7× 28 792
Tharmala Tharmalingam Ireland 11 675 1.9× 144 0.7× 182 1.4× 112 1.1× 57 0.7× 14 792
Ten‐Yang Yen United States 17 743 2.1× 116 0.5× 96 0.8× 250 2.5× 99 1.3× 36 1.1k
Geoffrey Allen United Kingdom 11 385 1.1× 137 0.6× 132 1.0× 53 0.5× 99 1.3× 15 592
Renuka Pillutla United States 19 741 2.0× 284 1.3× 297 2.3× 67 0.7× 165 2.1× 43 1.1k
Elisabet Carlsohn Sweden 10 409 1.1× 112 0.5× 54 0.4× 174 1.7× 50 0.6× 14 646
Ganglong Yang China 18 878 2.4× 265 1.2× 122 1.0× 161 1.6× 100 1.3× 57 1.1k
Haidi Yin United States 18 572 1.6× 138 0.6× 64 0.5× 177 1.7× 79 1.0× 27 728
Weijie Dong China 17 613 1.7× 216 1.0× 85 0.7× 30 0.3× 59 0.8× 32 784
Crina I.A. Balog Netherlands 25 926 2.6× 310 1.4× 208 1.6× 195 1.9× 78 1.0× 36 1.3k

Countries citing papers authored by Martin Sims

Since Specialization
Citations

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

Fields of papers citing papers by Martin Sims

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Sims

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Sims. A scholar is included among the top collaborators of Martin Sims 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 Martin Sims. Martin Sims 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.
Sims, Martin, et al.. (2025). The IAP antagonist tolinapant enhances the anti-tumor activity of cell therapies. European Journal of Pharmacology. 995. 177400–177400.
2.
Dumbrava, Ecaterina E., Fábio M. Iwamoto, Mark Agulnik, et al.. (2024). Abstract CT066: Phase 1 study of MDM2 antagonist ASTX295 in patients with solid tumors with wild-type TP53. Cancer Research. 84(7_Supplement). CT066–CT066. 1 indexed citations
3.
Ward, George A., Zhiqiang Zhang, Simone Jueliger, et al.. (2024). Epigenetic Priming by Hypomethylation Enhances the Immunogenic Potential of Tolinapant in T-cell Lymphoma. Cancer Research Communications. 4(6). 1441–1453. 2 indexed citations
4.
Sharma, Priyanka, Natalia Baran, Qi Zhang, et al.. (2024). ERK1/2 Inhibition Mediates Bax Dependent Proteolysis of OPA1 and Induces Mitochondrial Cristae Remodeling to Overcome Resistance to Venetoclax. Blood. 144(Supplement 1). 2759–2759. 1 indexed citations
5.
Sharma, Priyanka, Sujan Piya, Natalia Baran, et al.. (2023). P460: ERK1/2 INHIBITION OVERCOMES RESSITANCE TO BCL2 INHIBITION IN ACUTE MYELOID LEUKEMIA BY IMPACT ON MITOCHONDRIAL DYNAMICS AND FUNCTION. HemaSphere. 7(S3). e08176db–e08176db. 1 indexed citations
6.
Sharma, Priyanka, Sujan Piya, Huaxian Ma, et al.. (2021). ERK1/2 Inhibition Overcomes Resistance in Acute Myeloid Leukemia (AML) and Alters Mitochondrial Dynamics. Blood. 138(Supplement 1). 3338–3338. 3 indexed citations
7.
Sims, Martin. (2007). WRC-07: the Technological and Market Pressures for Flexible Spectrum Access. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 2 indexed citations
8.
Bamborough, Paul, Richard Angell, David Brown, et al.. (2007). N-4-Pyrimidinyl-1H-indazol-4-amine inhibitors of Lck: Indazoles as phenol isosteres with improved pharmacokinetics. Bioorganic & Medicinal Chemistry Letters. 17(15). 4363–4368. 39 indexed citations
9.
10.
Sathish, Jean G., et al.. (2001). Constitutive Association of SHP-1 with Leukocyte-Associated Ig-Like Receptor-1 in Human T Cells. The Journal of Immunology. 166(3). 1763–1770. 60 indexed citations
11.
Harris, John, Claire M. Moody, Peter J. Sadler, et al.. (1996). Solution structure of a biologically active cyclic LDV peptide analogue containing a type II′β‐turn mimetic. International journal of peptide & protein research. 47(6). 427–436. 19 indexed citations
12.
Arevalo, Jairo H., Christian A. Hassig, E.A. Stura, et al.. (1994). Structural Analysis of Antibody Specificity. Journal of Molecular Biology. 241(5). 663–690. 99 indexed citations
13.
14.
Lewis, Alan P., et al.. (1993). Cloning and sequence analysis of κ and γ cynomolgus monkey immunoglobulin cDNAs. Developmental & Comparative Immunology. 17(6). 549–560. 18 indexed citations
15.
Sims, Martin, Wendy C. Rowan, M. Lockyer, et al.. (1993). A humanized CD18 antibody can block function without cell destruction.. The Journal of Immunology. 151(4). 2296–2308. 8 indexed citations
16.
Lewis, Andrew, Stanley M. Lemon, Paula C. Murphy, et al.. (1993). Rescue, expression, and analysis of a neutralizing human anti-hepatitis A virus monoclonal antibody.. The Journal of Immunology. 151(5). 2829–2838. 15 indexed citations
17.
Crowe, J.S., Helen J. Cooper, M. A. Smith, et al.. (1991). Improved cloning efficiency of polymerase chain reaction (PCR) products after proteinase K digestion. Nucleic Acids Research. 19(1). 184–184. 125 indexed citations
18.
Wright, Les, et al.. (1991). Presence of Human Chromosome 1 with Expression of Human Decay‐Accelerating Factor (DAF) Prevents Lysis of Mouse/Human Hybrid Cells by Human Complement. Scandinavian Journal of Immunology. 34(6). 771–778. 10 indexed citations
19.
Eiler, Hugo, Jon Oden, Robert G. Schaub, & Martin Sims. (1981). Refractoriness of Both Uterus and Mammary Gland of the Cow to Prostaglandin F2α Administration: Clinical Implication. American Journal of Veterinary Research. 42(2). 314–317. 6 indexed citations
20.
Eiler, Hugo & Martin Sims. (1979). Mastitis-Metritis-Agalactia Complex in Sows: Effect of the Dosage of Oxytocin on Intramammary Pressure in Lactating Healthy Sows. American Journal of Veterinary Research. 40(8). 1100–1103. 1 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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