Kim Last

2.9k total citations · 1 hit paper
6 papers, 2.0k citations indexed

About

Kim Last is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kim Last has authored 6 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 2 papers in Molecular Biology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kim Last's work include Lymphoma Diagnosis and Treatment (3 papers), Multiple and Secondary Primary Cancers (2 papers) and Advanced Biosensing Techniques and Applications (1 paper). Kim Last is often cited by papers focused on Lymphoma Diagnosis and Treatment (3 papers), Multiple and Secondary Primary Cancers (2 papers) and Advanced Biosensing Techniques and Applications (1 paper). Kim Last collaborates with scholars based in United Kingdom, United States and Norway. Kim Last's co-authors include T. Andrew Lister, A. J. Norton, Eric S. Lander, Jill P. Mesirov, Tane S. Ray, Ricardo C.T. Aguiar, Geraldine S. Pinkus, Margaret A. Shipp, Jeffery L. Kutok and Michael Reich and has published in prestigious journals such as Nature Medicine, Journal of Clinical Oncology and British Journal of Haematology.

In The Last Decade

Kim Last

6 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning

2002 1.8k citations Margaret A. Shipp, Ken N. Ross et al. Nature Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kim Last United Kingdom	4	1.1k	723	455	338	331	6	2.0k
Panu E. Kovanen Finland	26	627 0.6×	170 0.2×	691 1.5×	288 0.9×	422 1.3×	44	2.3k
Ken N. Ross United States	5	2.6k 2.3×	759 1.0×	1.2k 2.6×	342 1.0×	378 1.1×	6	4.3k
Stephen Yip Canada	30	1.0k 0.9×	261 0.4×	565 1.2×	567 1.7×	243 0.7×	150	2.8k
Håvard E. Danielsen Norway	32	839 0.7×	338 0.5×	810 1.8×	99 0.3×	510 1.5×	104	3.5k
Sabina Chiaretti Italy	35	1.5k 1.3×	698 1.0×	944 2.1×	961 2.8×	78 0.2×	130	4.1k
David Verbel United States	21	1.2k 1.1×	232 0.3×	871 1.9×	96 0.3×	289 0.9×	46	2.9k
Timo Gaiser Germany	28	1.1k 1.0×	326 0.5×	1.4k 3.0×	128 0.4×	837 2.5×	134	3.7k
Michael J. Wick United States	25	1.2k 1.1×	246 0.3×	915 2.0×	111 0.3×	72 0.2×	67	2.4k
Anjia Han China	22	683 0.6×	402 0.6×	557 1.2×	49 0.1×	92 0.3×	88	1.5k
Ricardo C.T. Aguiar United States	35	3.1k 2.7×	976 1.3×	1.1k 2.4×	778 2.3×	330 1.0×	74	5.6k

Countries citing papers authored by Kim Last

Since Specialization

Citations

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

Fields of papers citing papers by Kim Last

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kim Last

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

All Works

Sort: Min cites: Since: Top N: Style:

6 of 6 papers shown

1.

Hall, Peter, Simon Lord, Michelle Collinson, et al.. (2012). Three, two, or one drug chemotherapy for frail or elderly patients with advanced gastroesophageal cancer (321GO): A feasibility study.. Journal of Clinical Oncology. 30(4_suppl). 97–97. 1 indexed citations

2.

Sirohi, Bhawna, David Cunningham, Andy Norman, et al.. (2007). Gemcitabine, cisplatin and methylprednisolone (GEM-P) with or without Rituximab in relapsed and refractory patients with diffuse large B cell lymphoma (DLBCL). Hematology. 12(2). 149–153. 13 indexed citations

3.

Davies, Andrew, Andreas Rosenwald, George W. Wright, et al.. (2006). Transformation of follicular lymphoma to diffuse large B‐cell lymphoma proceeds by distinct oncogenic mechanisms. British Journal of Haematology. 136(2). 286–293. 115 indexed citations

4.

Last, Kim, et al.. (2005). Molecular Diagnosis of Lymphoma: Outcome Prediction by Gene Expression Profiling in Diffuse Large B-Cell Lymphoma. PubMed. 115. 15–64. 2 indexed citations

5.

Last, Kim, Victoria Cornelius, Trevor Delves, et al.. (2003). Presentation Serum Selenium Predicts for Overall Survival, Dose Delivery, and First Treatment Response in Aggressive Non-Hodgkin’s Lymphoma. Journal of Clinical Oncology. 21(12). 2335–2341. 35 indexed citations

6.

Shipp, Margaret A., Ken N. Ross, Pablo Tamayo, et al.. (2002). Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning. Nature Medicine. 8(1). 68–74. 1842 indexed citations breakdown →

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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