Sheela Talwalker

1.5k citations
27 papers · 1.2k · h-index 12

Impact in

Papers in

Sheela Talwalker

22 papers receiving 1.1k citations

Peers

Sheela Talwalker
Comparison fields: 5 of 107
  • Pharmacology 729
  • Anesthesiology and Pain Medicine 170
  • Psychiatry and Mental health 203
  • Biochemistry 87
  • Geriatrics and Gerontology 45
Replace Marleen Depré with:
Marleen Depré Belgium
Edward L. Posvar United States
Rebekka Sterchi Switzerland
D R Abernethy United States
William H. Forrest United States
Suzanne Lemler United States
R Schade Germany
Alan Rubin United States
Uta Muth‐Selbach Germany
Julia Metzner United States
Sheela Talwalker relative to Marleen Depré Belgium Marleen Depré's profile →
Citations per field
00.5×10×15×20×22.5×
Marleen Depré · 1×
Citations per year

Countries citing papers authored by Sheela Talwalker

Since Specialization
Citations

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

Fields of papers citing papers by Sheela Talwalker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998405
2 1996231
3 2001110
4 200299
5 200272
6 200171
7 200255
8 200624
9 199623
10 199014
11 199612
12 198911
13 197710
14 19969
15 20029
16 20007
17 19916
18 19804
19 19964
20 20013

About Sheela Talwalker

Sheela Talwalker is a scholar working on Pharmacology, Statistics and Probability, Surgery, Cardiology and Cardiovascular Medicine and Psychiatry and Mental health, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (9 papers), Statistical Distribution Estimation and Applications (5 papers), Anesthesia and Pain Management (4 papers), Dementia and Cognitive Impairment Research (4 papers), Antiplatelet Therapy and Cardiovascular Diseases (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Statistical Methods and Bayesian Inference (2 papers) and Alzheimer's disease research and treatments (2 papers). The work is most often cited by research in Pharmacology (729 citations), Anesthesiology and Pain Medicine (170 citations), Psychiatry and Mental health (203 citations), Biochemistry (87 citations) and Geriatrics and Gerontology (45 citations). Sheela Talwalker has collaborated with scholars based in United States, Switzerland and Taiwan. Frequent co-authors include Richard C. Hubbard, Gilbert Geis, Peter E. Lipsky, Frank L. Lanza, Benjamin D. Schwartz, Peter C. Isakson, Lee S. Simon, Michael E. Kuss, David P. Recker and Paul J. Desjardins. Their work appears in journals such as Journal of Biopharmaceutical Statistics, Biometrical Journal, Fertility and Sterility, Journal of Applied Probability and Mathematical Biosciences.

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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