Tim Lahm

12.3k citations
135 papers · 9.4k · 2 hit papers · h-index 36

Impact in

Papers in

Tim Lahm

126 papers receiving 9.2k citations

Tim Lahm's Hit Papers

Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition) 2016 · 4.7k citations
4.7k0+3+6Years since publication10002.0k3.0k4.0k

Peers

Tim Lahm
Comparison fields: 5 of 158
  • Epidemiology 3.3k
  • Pulmonary and Respiratory Medicine 2.6k
  • Physiology 390
  • Genetics 707
  • Cardiology and Cardiovascular Medicine 1.4k
Replace Susan E. Quaggin with:
Susan E. Quaggin United States
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Chunsun Dai China
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Citations per field
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Citations per year

Countries citing papers authored by Tim Lahm

Since Specialization
Citations

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

Fields of papers citing papers by Tim Lahm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tim Lahm, 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 Tim Lahm Line = papers co-authored together Tim Lahm links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition)
Hit paper breakdown →
20164660
2 2008407
3
Association of Borderline Pulmonary Hypertension With Mortality and Hospitalization in a Large Patient Cohort: Insights From the Veterans Affairs Clinical Assessment, Reporting, and Tracking Program
Hit paper breakdown →
2016296
4 2018259
5 2015196
6 2018154
7 2018149
8 2012149
9 2015141
10 2014137
11 2010134
12 2008134
13 2013114
14 2008104
15 201884
16 200783
17 201382
18 202178
19 202074
20 201673

About Tim Lahm

Tim Lahm is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Genetics, Physiology and Surgery, having authored 135 papers that have together received 9.4k indexed citations. Recurring topics across this work include Pulmonary Hypertension Research and Treatments (83 papers), Cardiovascular Function and Risk Factors (13 papers), Neonatal Respiratory Health Research (11 papers), Heart Failure Treatment and Management (9 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (8 papers), Cardiovascular Issues in Pregnancy (8 papers), Mesenchymal stem cell research (8 papers) and Nitric Oxide and Endothelin Effects (7 papers). The work is most often cited by research in Epidemiology (3.3k citations), Pulmonary and Respiratory Medicine (2.6k citations), Physiology (390 citations), Genetics (707 citations) and Cardiology and Cardiovascular Medicine (1.4k citations). Tim Lahm has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Daniel R. Meldrum, Paul R. Crisostomo, Meijing Wang, Troy A. Markel, Irina Petrache, Andrea L. Frump, Yue Wang, Rubin M. Tuder, Marjorie E. Albrecht and Nathan Michael Novotny. Their work appears in journals such as American Journal of Respiratory and Critical Care Medicine, American Journal of Physiology-Lung Cellular and Molecular Physiology, Journal of Surgical Research, Pulmonary Circulation and CHEST Journal.

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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