Michael Lind

4.8k citations
115 papers · 3.6k · h-index 34

Impact in

  • Oncology top 2%
    • Cancer Treatment and Pharmacology
    • Lung Cancer Research Studies
    • Drug Transport and Resistance Mechanisms
    • Chemotherapy-induced organ toxicity mitigation

Papers in

    • Lung Cancer Research Studies 13
    • Cancer Treatment and Pharmacology 7
    • Cancer therapeutics and mechanisms 9
    • Ubiquitin and proteasome pathways 6

Michael Lind

106 papers receiving 3.5k citations

Peers

Michael Lind
Comparison fields: 5 of 132
  • Oncology 994
  • Pathology and Forensic Medicine 390
  • Cancer Research 325
  • Transplantation 53
  • Physiology 460
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Michael Lind relative to Brian Booth United States Brian Booth's profile →
Citations per field
00.5×1.6×
Brian Booth · 1×
Citations per year

Countries citing papers authored by Michael Lind

Since Specialization
Citations

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

Fields of papers citing papers by Michael Lind

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Lind, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Lind Line = papers co-authored together Michael Lind links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987438
2 2006196
3 1981168
4 2006160
5 2013156
6 2004121
7 2004116
8 1988113
9 1994109
10
A phase I and pharmacokinetic study of LY231514, the multitargeted antifolate.
199881
11 198975
12 198963
13 198961
14 200159
15 199052
16 202051
17 200751
18 200850
19 198949
20 200947

About Michael Lind

Michael Lind is a scholar working on Oncology, Molecular Biology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Cancer Research, having authored 115 papers that have together received 3.6k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (13 papers), Lung Cancer Research Studies (13 papers), Chemotherapy-induced organ toxicity mitigation (12 papers), Cancer therapeutics and mechanisms (9 papers), Occupational and environmental lung diseases (8 papers), Neuroendocrine Tumor Research Advances (7 papers), Cancer Treatment and Pharmacology (7 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Oncology (994 citations), Pathology and Forensic Medicine (390 citations), Cancer Research (325 citations), Transplantation (53 citations) and Physiology (460 citations). Michael Lind has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Lynn Cawkwell, Hideyo Inouye, Philip Drew, Daniel A. Kirschner, Lawrence K. Duffy, Alison J. Sinclair, Laura Smith, Dennis J. Selkoe, Mark B. Watson and Sara L. O’Kane. Their work appears in journals such as Cancer Chemotherapy and Pharmacology, European Journal of Cancer, British Journal of Cancer, Lung Cancer and Journal of Clinical Oncology.

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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